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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. 24417
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    Explanations

    combinations of letters or letter patterns that are specific and distinctive

    oai_token-act-pair · gpt-3.5-turbo

    letters and abbreviations tied to specific classifications or identifiers

    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
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    Negative Logits
    hower
    -0.71
    risk
    -0.65
    ãĥ´
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    interstitial
    -0.64
    enegger
    -0.61
    general
    -0.59
    ðŁij
    -0.58
    wolves
    -0.57
    skill
    -0.57
    reports
    -0.56
    POSITIVE LOGITS
    riors
    0.75
    ulhu
    0.71
    oldemort
    0.70
    llor
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     hybrids
    0.67
    ificate
    0.66
     Kenobi
    0.65
    ĪĴ
    0.65
    ternity
    0.65
     Skydragon
    0.65
    Activations Density 0.224%

    No Known Activations