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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. 0-RES-JB
    6. 5861
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    Explanations

    mention of figures or references within a text

    oai_token-act-pair · gpt-3.5-turbo

    references to figures or illustrations in the text

    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
    ophobic
    -0.65
     banned
    -0.64
    ocracy
    -0.63
     dictionary
    -0.62
     wars
    -0.61
     admin
    -0.60
     broadcast
    -0.60
     supers
    -0.59
     multicultural
    -0.59
     classics
    -0.58
    POSITIVE LOGITS
     Fig
    3.97
    Fig
    3.08
     FIG
    2.11
    fig
    2.03
     Figure
    2.01
     fig
    1.91
    FIG
    1.72
    Figure
    1.70
     Figures
    1.68
     Table
    1.35
    Activations Density 0.028%

    No Known Activations