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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. 8-RES-JB
    11. 11550
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    INDEX
    Explanations

    newly introduced concepts or policies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of new policies or regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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    ����
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    abetes
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     Himself
    -0.71
    ushima
    -0.70
    Certain
    -0.69
    ËĪ
    -0.67
    ozo
    -0.67
    POSITIVE LOGITS
     results
    0.91
     scenario
    0.88
     additions
    0.88
     developments
    0.88
     edition
    0.87
     arrangement
    0.86
     situation
    0.86
     approach
    0.85
     outlook
    0.84
     goal
    0.84
    Activations Density 0.291%

    No Known Activations