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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. 7-RES-JB
    11. 11150
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    INDEX
    Explanations

    mentions of the word "sugar"

    oai_token-act-pair · gpt-3.5-turbo

    references to sugar and its various implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    naire
    -0.84
    ership
    -0.75
    naires
    -0.75
    atche
    -0.75
    agame
    -0.74
    acular
    -0.73
     FML
    -0.72
    ĪĴ
    -0.71
    ļé
    -0.68
    agall
    -0.67
    POSITIVE LOGITS
     cane
    1.15
     syrup
    1.11
     beet
    1.09
     mell
    0.83
     sugar
    0.82
     daddy
    0.82
    coat
    0.81
    water
    0.80
     coating
    0.79
     sweetness
    0.78
    Activations Density 0.027%

    No Known Activations