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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. 4-RES-JB
    11. 15839
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    Explanations

    time periods, especially one with a specific duration like "years" or "months."

    oai_token-act-pair · gpt-3.5-turbo

    references to time durations and intervals

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

    No Comments

    Negative Logits
     bluff
    -0.65
     Facilities
    -0.65
    Mat
    -0.62
    Said
    -0.61
    atin
    -0.60
     bats
    -0.60
     waive
    -0.60
    Bir
    -0.58
     burial
    -0.57
     practition
    -0.57
    POSITIVE LOGITS
    imester
    0.82
    ynski
    0.80
    ruary
    0.76
    nings
    0.75
    opian
    0.74
    enium
    0.72
    ĸļ
    0.71
    rences
    0.70
     olds
    0.69
    efficients
    0.67
    Activations Density 0.092%

    No Known Activations