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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. 11-RES-JB
    11. 11846
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    Explanations

    information related to shooting accuracy in sports, specifically basketball

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to shooting statistics in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    birds
    -0.67
    pox
    -0.65
    Enlarge
    -0.64
     administr
    -0.59
     Investigations
    -0.59
     Investig
    -0.57
     Newsletter
    -0.56
     obe
    -0.56
    serv
    -0.55
     conducts
    -0.55
    POSITIVE LOGITS
     afar
    1.22
     distance
    1.07
     scrimmage
    1.01
     close
    0.85
     midfield
    0.82
    distance
    0.81
     farther
    0.78
     distances
    0.75
     nowhere
    0.74
     range
    0.74
    Activations Density 0.043%

    No Known Activations