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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. 11-RES-JB
    11. 21495
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    Explanations

    occurrences of the word "dollar" at various intensities in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to currency and monetary values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Rapp
    -0.76
    HCR
    -0.69
     Hail
    -0.67
     skelet
    -0.65
     Hav
    -0.63
     Blizz
    -0.62
     Emin
    -0.61
     convol
    -0.60
     Crom
    -0.60
     Metatron
    -0.60
    POSITIVE LOGITS
     sterling
    1.02
    dollar
    1.00
     dollar
    0.97
     cents
    0.94
     denominations
    0.89
     bills
    0.88
     ($)
    0.86
     loaf
    0.84
     dime
    0.83
     amount
    0.83
    Activations Density 0.069%

    No Known Activations