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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. 14005
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    INDEX
    Explanations

    statistics and metrics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports statistics

    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
    Introduced
    -0.69
     embold
    -0.62
    verse
    -0.59
    iter
    -0.58
    bys
    -0.58
    FML
    -0.58
    soType
    -0.56
    USE
    -0.56
    recent
    -0.55
    employ
    -0.54
    POSITIVE LOGITS
     touchdowns
    1.02
     131
    0.83
     touchdown
    0.78
     139
    0.77
     113
    0.76
     346
    0.76
     292
    0.76
     129
    0.76
     142
    0.76
     269
    0.75
    Activations Density 0.048%

    No Known Activations