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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. 7-RES-JB
    6. 23249
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    Explanations

    phrases indicating determination and effort towards accomplishing a task or goal

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating capabilities and actions of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hower
    -0.71
     Lauder
    -0.67
    pora
    -0.67
    ENCY
    -0.65
    geries
    -0.63
     Survivors
    -0.62
    utherford
    -0.62
    cture
    -0.60
     Examination
    -0.60
     Shap
    -0.59
    POSITIVE LOGITS
     legally
    0.82
     reasonably
    0.82
     lawfully
    0.78
     normally
    0.75
     advertised
    0.71
    usual
    0.69
    itaire
    0.68
    iest
    0.65
     responsibly
    0.64
     deserve
    0.64
    Activations Density 0.097%

    No Known Activations