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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. 156
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    Explanations

    mentions of scientific terms or activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions and contexts related to scientific concepts and research

    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
    drops
    -0.74
    pora
    -0.72
    oning
    -0.72
    doms
    -0.71
    torn
    -0.71
    skirts
    -0.70
    upon
    -0.68
    zik
    -0.68
    eu
    -0.67
    stretched
    -0.65
    POSITIVE LOGITS
     fiction
    1.05
     curiosity
    0.95
     literacy
    0.95
    ĨĴ
    0.91
     research
    0.87
     scientist
    0.87
     misconduct
    0.84
     science
    0.83
     sciences
    0.83
     physicist
    0.82
    Activations Density 0.020%

    No Known Activations