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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 21033
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    Explanations

    technical terms related to various industries and fields such as technology, healthcare, and business

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to surveys and assessments in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     FANTASY
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    ITNESS
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    yss
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    aples
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     seiz
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    -0.55
    ometric
    -0.55
    maxwell
    -0.53
    aucas
    -0.53
    pid
    -0.52
    POSITIVE LOGITS
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    aires
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    naire
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     extraord
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    arettes
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    Joined
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     (£
    0.56
    Activations Density 1.661%

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