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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. 8-RES-JB
    11. 706
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    Explanations

    dates in various formats and contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to dates and specific numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.58
    ggle
    -0.58
    dule
    -0.58
     Clicker
    -0.57
    dain
    -0.56
    urious
    -0.55
    inka
    -0.55
    idental
    -0.54
    stra
    -0.54
    arte
    -0.54
    POSITIVE LOGITS
    Reviewed
    0.77
    .;
    0.73
     Dear
    0.61
     respectively
    0.60
     Daughter
    0.60
    artifacts
    0.60
     DOI
    0.60
     è£ıè
    0.59
     extraord
    0.59
     alike
    0.57
    Activations Density 0.575%

    No Known Activations