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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. 23617
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    Explanations

    dates and times

    oai_token-act-pair · gpt-3.5-turbo

    time and date references in text

    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
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    No Comments

    Negative Logits
    #$#$
    -0.60
    ieg
    -0.57
    manship
    -0.57
     informants
    -0.56
    ç¥ŀ
    -0.56
    inqu
    -0.55
    ighting
    -0.55
    ulates
    -0.55
    ief
    -0.54
     classified
    -0.54
    POSITIVE LOGITS
    quickShipAvailable
    0.97
    UTC
    0.75
     04
    0.64
     UTC
    0.61
     09
    0.61
     08
    0.60
     midday
    0.60
    aq
    0.59
     HOU
    0.59
     Runtime
    0.59
    Activations Density 0.061%

    No Known Activations