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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. 9-RES-JB
    11. 3546
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    Explanations

    dates and statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics related to specific years and financial metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orge
    -0.74
    ãĤ¤ãĥĪ
    -0.72
    drm
    -0.72
    Synopsis
    -0.72
    odox
    -0.69
    Appearance
    -0.68
    forts
    -0.67
    inges
    -0.65
    Optional
    -0.64
    æĦ
    -0.64
    POSITIVE LOGITS
     average
    1.17
     median
    1.16
     averaged
    1.08
     averages
    1.07
     total
    1.00
    Average
    0.95
     averaging
    0.93
     Median
    0.93
     cumulative
    0.93
     fewer
    0.92
    Activations Density 0.243%

    No Known Activations