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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. 11-RES-JB
    11. 14601
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    Explanations

    years mentioned in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods, specifically years and months

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RB
    -0.67
     JUSTICE
    -0.62
    ecast
    -0.60
    SEA
    -0.58
    aos
    -0.56
    ité
    -0.56
    bach
    -0.56
    IRC
    -0.56
     Instr
    -0.55
    DK
    -0.55
    POSITIVE LOGITS
    ning
    0.97
    round
    0.97
     round
    0.95
    ned
    0.92
    nings
    0.91
     olds
    0.89
    long
    0.87
    ticket
    0.86
    days
    0.85
    books
    0.84
    Activations Density 0.084%

    No Known Activations