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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 10670
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    INDEX
    Explanations

    timestamps in a television schedule

    oai_token-act-pair · gpt-3.5-turbo

    time-related information, likely focusing on timestamps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edIn
    -0.64
     Afgh
    -0.62
     Ports
    -0.60
    ospace
    -0.58
     americ
    -0.58
    isSpecial
    -0.58
     "{
    -0.56
    udos
    -0.55
    IELD
    -0.54
    DragonMagazine
    -0.54
    POSITIVE LOGITS
    45
    1.11
    59
    1.11
    07
    1.10
    05
    1.09
    57
    1.09
    03
    1.09
    56
    1.09
    06
    1.09
    58
    1.07
    30
    1.07
    Activations Density 0.019%

    No Known Activations