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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. 13055
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    INDEX
    Explanations

    questions about the effectiveness or impact of certain actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    questions about political concepts and news headlines

    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
    aples
    -0.78
     awa
    -0.73
     seiz
    -0.73
     rul
    -0.70
    ifax
    -0.69
     stroke
    -0.69
     hiber
    -0.67
     brush
    -0.67
     foreground
    -0.66
     looph
    -0.66
    POSITIVE LOGITS
     Productions
    0.98
    !,
    0.91
     Strategies
    0.88
     Ltd
    0.82
    Leaks
    0.82
    Sport
    0.82
     Collective
    0.81
    20439
    0.80
     Voices
    0.79
     Films
    0.79
    Activations Density 0.490%

    No Known Activations