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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. 9-RES-JB
    11. 9032
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    Explanations

    phrases related to sports performance, including statistics like strikeouts, hits allowed, and sacks

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to allowed points or actions in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    morrow
    -0.77
     scen
    -0.73
    enegger
    -0.68
    ocl
    -0.67
    atre
    -0.65
     commod
    -0.65
     saddle
    -0.64
    olate
    -0.63
     mobil
    -0.63
    ulz
    -0.63
    POSITIVE LOGITS
     opponents
    1.21
     defenses
    1.03
     hitters
    1.03
     defenders
    0.96
     turnovers
    0.95
     opposing
    0.92
     opponent
    0.90
     foes
    0.89
     offenses
    0.80
     enemy
    0.79
    Activations Density 0.156%

    No Known Activations