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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. 4-RES-JB
    11. 11450
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    Explanations

    negative phrases or statements

    oai_token-act-pair · gpt-3.5-turbo

    negative statements or expressions of doubt

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

    No Comments

    Negative Logits
    later
    -0.75
    lique
    -0.70
    meet
    -0.69
    advertisement
    -0.67
    pora
    -0.66
     Lux
    -0.66
    cerpt
    -0.66
    olon
    -0.66
    ali
    -0.65
    meric
    -0.64
    POSITIVE LOGITS
     darn
    0.78
    ifiable
    0.69
    ãĤ¶
    0.67
     luck
    0.66
     surfing
    0.64
    èª
    0.64
     Fenrir
    0.63
     Harbor
    0.63
     Stard
    0.62
    WIND
    0.62
    Activations Density 0.093%

    No Known Activations