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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. 3-RES-JB
    11. 22905
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    Explanations

    information related to numbers, quantities, and measures

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to breaches, endorsements, and statistics about various entities and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Expect
    -0.61
     Habit
    -0.59
     Whitman
    -0.57
     Monetary
    -0.57
    arthy
    -0.56
     Limbaugh
    -0.54
     Conserv
    -0.54
    abeth
    -0.53
    Management
    -0.52
    nature
    -0.52
    POSITIVE LOGITS
     apiece
    0.74
    votes
    0.64
    undred
    0.60
    imore
    0.58
     intersections
    0.58
    ãĥ¯ãĥ³
    0.58
    illion
    0.56
     crore
    0.55
    PsyNetMessage
    0.55
    ãĥ´ãĤ¡
    0.55
    Activations Density 0.964%

    No Known Activations