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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. 7-RES-JB
    11. 19016
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    Explanations

    time-related phrases and deadlines

    oai_token-act-pair · gpt-3.5-turbo

    expressions of certainty and time-related statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Wikimedia
    -0.73
     Nir
    -0.69
     Chau
    -0.59
    ksh
    -0.57
    alli
    -0.56
    malink
    -0.56
     Minor
    -0.56
     vener
    -0.56
    "}
    -0.54
     Williams
    -0.54
    POSITIVE LOGITS
    whether
    0.86
    Ĭ±
    0.85
    omething
    0.81
    ilts
    0.78
     how
    0.74
    rition
    0.73
    ogg
    0.72
    ITNESS
    0.70
    ¿½
    0.68
    tips
    0.68
    Activations Density 0.659%

    No Known Activations