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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. 7-RES-JB
    11. 7341
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    Explanations

    words related to national security and government positions

    oai_token-act-pair · gpt-3.5-turbo

    references to governmental or political issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     optimism
    -0.57
     pessimistic
    -0.56
     optimistic
    -0.55
    itiveness
    -0.54
     pessim
    -0.54
     Billion
    -0.54
     crochet
    -0.52
     kickoff
    -0.52
     Playoff
    -0.49
     upbeat
    -0.48
    POSITIVE LOGITS
    ardless
    0.89
     respectively
    0.82
    respective
    0.74
    ilaterally
    0.70
    artney
    0.68
    ĺħ
    0.68
     thereby
    0.67
    ļéĨĴ
    0.67
     versa
    0.66
     whom
    0.65
    Activations Density 1.136%

    No Known Activations