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    1. Home
    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. 18543
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    Explanations

    points or arguments being made in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to key points being made in discussions or arguments

    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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    No Comments

    Negative Logits
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    uthor
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     destro
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     notor
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    eatures
    -0.78
    apons
    -0.77
    eco
    -0.75
    undai
    -0.75
    emale
    -0.74
    POSITIVE LOGITS
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    point
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    points
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    0.82
    forward
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    lessness
    0.77
     deduction
    0.75
    posts
    0.75
    iasis
    0.74
    Activations Density 0.033%

    No Known Activations