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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. 0-RES-JB
    11. 13579
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    INDEX
    Explanations

    visual-related terms, such as 'visual representation', 'visual effects', and 'visual statement'

    oai_token-act-pair · gpt-3.5-turbo

    references to visual elements or aesthetics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ife
    -0.86
    onds
    -0.76
    efe
    -0.75
    ridge
    -0.75
     Ambrose
    -0.74
    pool
    -0.72
    erity
    -0.69
    eem
    -0.68
     Millions
    -0.68
    payers
    -0.67
    POSITIVE LOGITS
     visual
    3.51
    visual
    2.73
    Visual
    2.48
     Visual
    2.39
     visually
    2.33
     visuals
    2.24
     visualization
    2.12
     graphical
    1.83
     visualize
    1.70
     tactile
    1.50
    Activations Density 0.022%

    No Known Activations