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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. 9-RES-JB
    11. 17519
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    Explanations

    football team names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically team names or entities related to sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acci
    -0.73
    tical
    -0.69
    trak
    -0.65
    ancies
    -0.65
    artment
    -0.64
    MENTS
    -0.64
    utic
    -0.64
    onymous
    -0.64
    oise
    -0.63
    piece
    -0.63
    POSITIVE LOGITS
     fans
    1.16
     Fans
    1.09
    Fans
    0.97
    Nation
    0.93
    Fan
    0.92
     teammates
    0.90
     Nation
    0.90
     rookie
    0.89
     fan
    0.89
     teammate
    0.89
    Activations Density 0.109%

    No Known Activations