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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. 4-RES-JB
    11. 24338
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    Explanations

    phrases related to sports plays

    oai_token-act-pair · gpt-3.5-turbo

    references to specific plays in a sports context

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

    No Comments

    Negative Logits
     Aires
    -0.70
    ĺħ
    -0.67
     transpl
    -0.67
    izoph
    -0.65
    omers
    -0.65
     certific
    -0.64
     neurot
    -0.63
     mayoral
    -0.63
    aspers
    -0.62
     municipal
    -0.62
    POSITIVE LOGITS
     scrimmage
    0.88
    call
    0.86
     caller
    0.83
     rusher
    0.77
    Coach
    0.76
     blocker
    0.75
     touchdowns
    0.75
     Quinn
    0.73
     scorer
    0.71
     Manziel
    0.70
    Activations Density 0.061%

    No Known Activations