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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. 0-RES-JB
    11. 19300
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    Explanations

    mentions of ankle-related injuries or conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to ankle injuries or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Paste
    -0.68
    supp
    -0.68
     Newman
    -0.68
    ifications
    -0.67
    $.
    -0.65
    uo
    -0.65
    ries
    -0.65
     Fury
    -0.65
     Rex
    -0.64
     Nero
    -0.63
    POSITIVE LOGITS
     ankle
    3.58
     ankles
    2.22
     Ank
    1.69
     ank
    1.64
     toe
    1.34
     hamstring
    1.30
     thigh
    1.26
     heel
    1.22
     knee
    1.22
     calf
    1.19
    Activations Density 0.016%

    No Known Activations