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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. 0-RES-JB
    11. 16973
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    Explanations

    words related to trends or shifts in patterns

    oai_token-act-pair · gpt-3.5-turbo

    references to trends in consumer behavior or societal changes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Abel
    -0.73
    partial
    -0.71
    uter
    -0.70
     respects
    -0.66
     Bren
    -0.63
    pell
    -0.63
    igate
    -0.62
    arations
    -0.62
    yne
    -0.61
     Vengeance
    -0.61
    POSITIVE LOGITS
     trend
    3.69
     trends
    2.60
     Trend
    1.90
    Trend
    1.85
     trending
    1.77
     Trends
    1.62
     tendency
    1.52
     phenomenon
    1.36
     pattern
    1.32
     slump
    1.27
    Activations Density 0.017%

    No Known Activations