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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. 1-RES-JB
    11. 22034
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    Explanations

    specific names, likely focusing on surnames

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Witt" and related references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     crush
    -0.77
    xual
    -0.68
     faint
    -0.66
     veins
    -0.65
     pride
    -0.65
    Bloomberg
    -0.65
     lung
    -0.64
     diamonds
    -0.64
     continent
    -0.64
     vested
    -0.63
    POSITIVE LOGITS
     Witt
    1.38
    sonian
    1.20
    sburgh
    1.00
    sburg
    0.98
    witz
    0.98
    meyer
    0.93
    iffs
    0.91
    haus
    0.89
    swer
    0.88
    sworth
    0.88
    Activations Density 0.008%

    No Known Activations