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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. 4-RES-JB
    11. 20047
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    INDEX
    Explanations

    phrases or sentences requesting action or information

    oai_token-act-pair · gpt-3.5-turbo

    instances of requests or inquiries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Ĥ¬
    -0.74
    smoking
    -0.65
    âĶĢâĶĢ
    -0.65
     Nanto
    -0.65
    cutting
    -0.65
    ccording
    -0.64
     Cheong
    -0.64
     Swing
    -0.63
    marine
    -0.63
    ffen
    -0.62
    POSITIVE LOGITS
     rhet
    1.12
     probing
    1.04
    naires
    1.01
     questions
    1.00
    erville
    0.95
    ioned
    0.91
    govtrack
    0.88
    wered
    0.83
    FontSize
    0.83
    ingly
    0.79
    Activations Density 0.041%

    No Known Activations