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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. 1-RES-JB
    11. 11232
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    Explanations

    statistics related to American football games, particularly focusing on passing touchdowns

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to football touchdowns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    States
    -0.77
    remlin
    -0.75
     gent
    -0.71
    XY
    -0.68
    Station
    -0.63
    lly
    -0.62
    nai
    -0.62
    stage
    -0.62
     Euras
    -0.61
    Rocket
    -0.61
    POSITIVE LOGITS
     touchdowns
    1.05
     touchdown
    0.87
     rusher
    0.78
    poons
    0.77
     TDs
    0.76
    avorite
    0.74
    ensical
    0.73
    interstitial
    0.72
     receptions
    0.72
     scored
    0.68
    Activations Density 0.007%

    No Known Activations