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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    references to the fast-food chain "McDonald's."

    oai_token-act-pair · gpt-3.5-turbo

    references to "McDonald."

    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
    arial
    -0.77
    ourced
    -0.68
    udic
    -0.66
    atory
    -0.64
    âĵĺ
    -0.63
     downt
    -0.63
     nominal
    -0.60
    imental
    -0.59
    onies
    -0.58
    ANK
    -0.57
    POSITIVE LOGITS
    intosh
    0.95
    loo
    0.83
    donald
    0.82
    Afee
    0.78
     oats
    0.77
     McDonald
    0.76
    ards
    0.74
    sburg
    0.73
    mens
    0.72
    mare
    0.71
    Activations Density 0.011%

    No Known Activations