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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. 10-RES-JB
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    Explanations

    mentions of sports teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Houston and its sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.81
    epad
    -0.77
    thood
    -0.75
    udic
    -0.74
    BOOK
    -0.72
    olkien
    -0.69
     Lanka
    -0.68
    lasses
    -0.68
    arial
    -0.68
    umenthal
    -0.66
    POSITIVE LOGITS
     Dynamo
    1.37
     Chronicle
    1.36
     Texans
    1.31
     Rockets
    1.30
     Astros
    1.29
    STON
    1.16
    ians
    1.03
     Oilers
    1.03
     TX
    0.89
     Houston
    0.89
    Activations Density 0.030%

    No Known Activations