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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. 12417
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    Explanations

    phrases related to the impact or effects of various actions or events

    oai_token-act-pair · gpt-3.5-turbo

    references to the impact or effects of various subjects

    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
     largeDownload
    -0.82
    IQ
    -0.80
    kered
    -0.78
    acci
    -0.70
    ivas
    -0.69
     ILCS
    -0.69
    È
    -0.68
    externalActionCode
    -0.66
    ettel
    -0.66
    key
    -0.65
    POSITIVE LOGITS
     Hurricane
    0.76
     these
    0.68
     repealing
    0.68
     electing
    0.68
     litigation
    0.67
     globalization
    0.67
     incumb
    0.65
     misinformation
    0.63
     both
    0.62
     Typhoon
    0.62
    Activations Density 0.176%

    No Known Activations