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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. 1-RES-JB
    11. 21373
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    date-related references and numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     snowball
    -0.73
     appropriation
    -0.71
     gor
    -0.68
    Þ
    -0.63
    tones
    -0.62
    utherland
    -0.61
    ocene
    -0.61
     Surv
    -0.61
     offended
    -0.60
    kernel
    -0.59
    POSITIVE LOGITS
    003
    1.08
    004
    0.98
    02
    0.96
    00
    0.95
    03
    0.94
    04
    0.93
    01
    0.91
    005
    0.90
    raction
    0.89
    05
    0.87
    Activations Density 0.012%

    No Known Activations