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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. 4-RES-JB
    11. 1267
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    Explanations

    words related to trends and patterns

    oai_token-act-pair · gpt-3.5-turbo

    references to trends or patterns

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

    No Comments

    Negative Logits
    gur
    -0.96
    tein
    -0.80
    idden
    -0.73
    porting
    -0.68
    avez
    -0.66
    hiro
    -0.66
    ricular
    -0.65
    ongh
    -0.64
    rieving
    -0.63
     Aires
    -0.62
    POSITIVE LOGITS
    setting
    1.09
     trend
    1.06
     Trend
    1.04
     trends
    0.92
    Trend
    0.91
    line
    0.80
    chart
    0.78
     Trends
    0.76
    geist
    0.72
    tip
    0.71
    Activations Density 0.014%

    No Known Activations