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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. 8-RES-JB
    11. 10133
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    INDEX
    Explanations

    mentions of specific names or entities, especially those with variations in spelling

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shire
    -1.02
    iaries
    -0.84
     unfocusedRange
    -0.70
    elligence
    -0.68
     foss
    -0.67
    mosp
    -0.66
    tyard
    -0.63
    orporated
    -0.62
    regor
    -0.61
    hesda
    -0.60
    POSITIVE LOGITS
    uli
    0.92
    ë
    0.89
     Shank
    0.87
    udi
    0.86
    uri
    0.84
     Malik
    0.84
    ishi
    0.83
    aki
    0.82
    qa
    0.82
     Lal
    0.82
    Activations Density 0.155%

    No Known Activations