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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. 17057
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    Explanations

    time-related expressions, especially involving fractions and measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to fractions and specific time durations or measurements

    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
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    Negative Logits
     95
    -0.58
     ±
    -0.56
     75
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     Twice
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     85
    -0.53
    hift
    -0.53
    /-
    -0.52
    ona
    -0.52
     62
    -0.52
     86
    -0.51
    POSITIVE LOGITS
    IED
    0.54
    ieves
    0.51
    zers
    0.49
    iev
    0.48
    eele
    0.47
    Clock
    0.47
    boards
    0.46
     Nanto
    0.46
    idays
    0.46
    ishers
    0.46
    Activations Density 0.265%

    No Known Activations