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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. 10-RES-JB
    11. 1253
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    Explanations

    timestamps in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    time-related information, specifically timestamps and dates

    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
    ospace
    -0.62
     authority
    -0.56
     kinderg
    -0.54
    onite
    -0.53
    fman
    -0.52
    inate
    -0.52
    ñ
    -0.52
    isSpecial
    -0.51
    undai
    -0.51
    vre
    -0.50
    POSITIVE LOGITS
    59
    1.26
    02
    1.24
    03
    1.24
    00
    1.23
    06
    1.23
    58
    1.22
    54
    1.22
    57
    1.22
    51
    1.22
    53
    1.21
    Activations Density 0.038%

    No Known Activations