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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    mentions of the word "angers" and the name "Roosevelt."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "angers" and references to the name "Roosevelt."

    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
     comet
    -0.63
     Veil
    -0.62
     Eve
    -0.62
     Regener
    -0.62
     Merlin
    -0.61
     passively
    -0.61
     Cry
    -0.60
     cushion
    -0.60
     advertisement
    -0.60
     mirror
    -0.60
    POSITIVE LOGITS
    angers
    3.79
    angering
    1.38
    ANG
    1.07
    angered
    0.97
    andals
    0.94
    ueless
    0.91
    orses
    0.91
    isky
    0.91
     Rangers
    0.91
    isers
    0.90
    Activations Density 0.019%

    No Known Activations