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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. 6-RES-JB
    6. 21533
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    INDEX
    Explanations

    names of individuals with their corresponding relevance levels

    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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     womb
    -0.64
    Ont
    -0.61
    etheless
    -0.61
     chem
    -0.60
    ĪĴ
    -0.60
    ModLoader
    -0.58
     zoning
    -0.57
    PsyNetMessage
    -0.57
     USC
    -0.56
     soluble
    -0.55
    POSITIVE LOGITS
    arde
    0.91
    ij士
    0.87
    igl
    0.83
    izo
    0.79
    assi
    0.76
    idy
    0.76
     apologised
    0.75
    ource
    0.71
    oute
    0.70
    itan
    0.70
    Activations Density 0.087%

    No Known Activations