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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. 6-RES-JB
    6. 22955
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    INDEX
    Explanations

    unstructured and unrelated sequences of characters or symbols

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and formatting markers in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lobbied
    -0.74
     intervened
    -0.74
     appoint
    -0.74
     choking
    -0.71
     divest
    -0.71
     answ
    -0.71
     uncond
    -0.71
     counsel
    -0.70
     probation
    -0.70
     amnesty
    -0.69
    POSITIVE LOGITS
    Screenshot
    1.15
    Courtesy
    1.10
    Conclusion
    1.09
    Figure
    1.08
    Notice
    1.08
    Below
    1.05
    Gallery
    1.01
    Video
    1.00
    Legend
    1.00
    Ingredients
    0.99
    Activations Density 0.460%

    No Known Activations