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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. 17787
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    Explanations

    references to animal names or mythical creatures

    oai_token-act-pair · gpt-3.5-turbo

    references to "The Lion King."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.75
    ACTION
    -0.73
    leneck
    -0.72
    aternity
    -0.72
    sembly
    -0.71
    ETH
    -0.69
     confir
    -0.69
    orsche
    -0.69
    spread
    -0.69
    elsius
    -0.68
    POSITIVE LOGITS
    esses
    1.06
     Lion
    1.05
    fish
    1.00
    heart
    0.92
    naire
    0.91
    eye
    0.88
    boys
    0.86
    toe
    0.85
    bird
    0.83
     Corps
    0.81
    Activations Density 0.007%

    No Known Activations