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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. 149
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    INDEX
    Explanations

    keywords related to reasoning, justification, or argumentation based on certain conditions or principles

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to justification or reasoning for actions or opinions

    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
    ascus
    -0.79
    jer
    -0.77
    ortium
    -0.75
    apore
    -0.73
    aspers
    -0.71
    chuk
    -0.70
    ravis
    -0.69
    torn
    -0.68
    nova
    -0.67
    uckland
    -0.67
    POSITIVE LOGITS
     basis
    0.89
     assumption
    0.88
     grounds
    0.82
     occasions
    0.77
     premise
    0.76
     criteria
    0.76
     principles
    0.75
     whim
    0.73
     behalf
    0.71
     clauses
    0.71
    Activations Density 0.054%

    No Known Activations