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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 16282
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    Explanations

    percentage values

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating negative impacts or declines in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¢ãĥ«
    -0.76
    anism
    -0.73
    Edit
    -0.72
    arten
    -0.63
    cause
    -0.63
    izons
    -0.62
     Exchange
    -0.61
     engagements
    -0.61
     distances
    -0.61
    izon
    -0.60
    POSITIVE LOGITS
     resurgence
    1.01
     renaissance
    0.96
     bump
    0.93
     lot
    0.93
     setback
    0.92
     rocky
    0.92
     flurry
    0.89
     comeback
    0.88
     snag
    0.87
     rude
    0.86
    Activations Density 0.206%

    No Known Activations