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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. 6-RES-JB
    11. 7614
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    Explanations

    time-related clues, especially phrases indicating recent time periods

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods or temporal markers in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.81
    arov
    -0.78
    arah
    -0.77
    ¬¼
    -0.74
    ħĭ
    -0.73
    Cause
    -0.68
    emption
    -0.67
    aith
    -0.67
    SourceFile
    -0.64
    Otherwise
    -0.64
    POSITIVE LOGITS
     however
    0.97
     meanwhile
    0.74
     moreover
    0.68
     Laurie
    0.63
     we
    0.63
     whenever
    0.62
     respectively
    0.61
     Brendan
    0.59
     Micha
    0.59
     Luis
    0.57
    Activations Density 0.257%

    No Known Activations