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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. 10-RES-JB
    11. 18937
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    Explanations

    information related to shooting percentages in basketball

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to basketball shooting statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stories
    -0.79
    Enlarge
    -0.74
    ACA
    -0.65
    reports
    -0.64
    20439
    -0.59
    economic
    -0.59
    glomer
    -0.58
    yg
    -0.58
    Feed
    -0.57
    Economic
    -0.57
    POSITIVE LOGITS
     scrimmage
    1.43
     afar
    1.22
     distance
    0.94
     midfield
    0.92
     fullback
    0.83
     mile
    0.79
     perimeter
    0.79
     behind
    0.79
    behind
    0.74
     midrange
    0.73
    Activations Density 0.048%

    No Known Activations