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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. 3-RES-JB
    11. 12352
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    INDEX
    Explanations

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or brands, particularly in the context of media or entertainment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wrap
    -0.73
    ĨĴ
    -0.72
    ł
    -0.71
     KDE
    -0.67
    ĸļ
    -0.66
    ģ
    -0.66
     Yuri
    -0.65
    ľ
    -0.63
    OGR
    -0.63
     Argon
    -0.63
    POSITIVE LOGITS
    ufact
    0.80
    ilitary
    0.79
    itous
    0.78
    upe
    0.78
    otive
    0.77
    ready
    0.76
    izable
    0.75
    elly
    0.71
    okia
    0.71
    ually
    0.71
    Activations Density 0.018%

    No Known Activations