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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. 8-RES-JB
    11. 14384
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    Explanations

    passing actions in sports

    oai_token-act-pair · gpt-3.5-turbo

    actions and events related to sports and athletic plays

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     moderators
    -0.78
     testimonies
    -0.76
     disband
    -0.76
    urers
    -0.74
    rooms
    -0.74
     professions
    -0.73
    ersive
    -0.72
     Governments
    -0.71
     weekends
    -0.71
     demographic
    -0.71
    POSITIVE LOGITS
    tackle
    0.98
     puck
    0.97
     ball
    0.96
     grabs
    0.92
     punt
    0.90
     teammate
    0.89
    Shot
    0.88
    shot
    0.85
     fingert
    0.84
    pointer
    0.83
    Activations Density 0.430%

    No Known Activations