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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. 9-RES-JB
    11. 14720
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    Explanations

    references to a specific individual

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual or character

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pastebin
    -0.67
     Worlds
    -0.58
     Amanda
    -0.58
     communities
    -0.58
    ĨĴ
    -0.58
     Lima
    -0.58
     Result
    -0.56
     AM
    -0.56
     neighborhoods
    -0.56
     Railroad
    -0.56
    POSITIVE LOGITS
     personally
    1.02
    panic
    0.97
    ading
    0.95
    atically
    0.86
    zbollah
    0.85
     Majesty
    0.84
    enegger
    0.80
    atic
    0.80
     orally
    0.79
    eded
    0.78
    Activations Density 0.100%

    No Known Activations