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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. 12482
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    INDEX
    Explanations

    mentions of items and objects being available or included in a set or context

    oai_token-act-pair · gpt-3.5-turbo

    descriptive details about characters and settings

    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
    reason
    -0.74
    undo
    -0.68
    assetsadobe
    -0.68
    elo
    -0.66
    fail
    -0.65
     fallacy
    -0.64
    soType
    -0.64
    ente
    -0.63
    itas
    -0.62
    quit
    -0.62
    POSITIVE LOGITS
     additions
    0.81
     assorted
    0.81
     optionally
    0.81
     optional
    0.81
     extras
    0.80
    cellaneous
    0.77
    Optional
    0.75
     includ
    0.73
     assortment
    0.72
     additional
    0.71
    Activations Density 0.909%

    No Known Activations