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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. 5-RES-JB
    6. 4065
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    INDEX
    Explanations

    organizations, groups, and movements with a focus on taking action

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Action" and related phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yth
    -0.88
    gling
    -0.75
    artifacts
    -0.75
    achy
    -0.72
    yton
    -0.72
    ĨĴ
    -0.72
    aves
    -0.72
    gow
    -0.71
    Ħ¢
    -0.71
    agar
    -0.69
    POSITIVE LOGITS
     Replay
    0.98
    Aid
    0.78
     Fund
    0.77
     Coordinator
    0.77
     Committees
    0.76
     Plan
    0.76
     Agency
    0.76
     Assistance
    0.76
     Desk
    0.75
    tec
    0.75
    Activations Density 0.018%

    No Known Activations