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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. 15990
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    Explanations

    words related to soccer leagues and teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific soccer leagues, particularly USL and NASL

    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
    heimer
    -0.79
    frame
    -0.75
    codes
    -0.72
    tale
    -0.72
     MacArthur
    -0.72
    imoto
    -0.71
    draw
    -0.69
    berman
    -0.69
    bler
    -0.68
    library
    -0.68
    POSITIVE LOGITS
     USL
    0.96
     goalt
    0.75
    HL
    0.74
     goalkeeper
    0.71
     soccer
    0.70
     goalie
    0.69
    PA
    0.69
    ANN
    0.69
     AHL
    0.68
     NASL
    0.67
    Activations Density 0.005%

    No Known Activations