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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 20921
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    INDEX
    Explanations

    words related to drawing conclusions or making judgments

    oai_token-act-pair · gpt-3.5-turbo

    references to conclusions or outcomes of reasoning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    skill
    -0.71
    ophon
    -0.70
     Leban
    -0.65
    inventory
    -0.64
    amen
    -0.64
    names
    -0.63
     nas
    -0.62
    ansk
    -0.62
    akin
    -0.61
    bey
    -0.61
    POSITIVE LOGITS
     conclusions
    1.01
     conclusion
    0.94
    abl
    0.86
     drawn
    0.82
     regarding
    0.79
     based
    0.77
    éĸ
    0.77
    20439
    0.75
    igm
    0.74
    lessly
    0.73
    Activations Density 0.054%

    No Known Activations