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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. 2319
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    INDEX
    Explanations

    descriptions of colors and textures

    oai_token-act-pair · gpt-3.5-turbo

    descriptive adjectives and their variations

    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
    Examples
    -0.78
    Events
    -0.76
     Answers
    -0.74
    Own
    -0.72
    eworks
    -0.71
     honors
    -0.69
    names
    -0.68
     Income
    -0.68
    Example
    -0.68
     Elections
    -0.68
    POSITIVE LOGITS
     thin
    1.03
     slight
    1.02
     dense
    1.00
     distinctive
    1.00
     circular
    0.99
     thicker
    0.98
     thick
    0.98
     faint
    0.97
     gentle
    0.97
     translucent
    0.95
    Activations Density 0.190%

    No Known Activations