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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 14327
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to tools, policies, and various forms of media or content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Operation
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    ©¶æ
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    ties
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    iann
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     Surviv
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    abet
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     paramedics
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    renheit
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    OSP
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     Azerb
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    POSITIVE LOGITS
     alike
    1.69
     thereof
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     respectively
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     thereto
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     therein
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    hips
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     accordingly
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    mith
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    hare
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    paces
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    Activations Density 0.255%

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