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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. 9-RES-JB
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    Explanations

    references to the ingredient "sugar."

    oai_token-act-pair · gpt-3.5-turbo

    references to sugar

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agame
    -0.76
    atche
    -0.75
    naire
    -0.75
    ļé
    -0.71
     FML
    -0.71
    acular
    -0.71
    orate
    -0.71
    awar
    -0.69
    ovie
    -0.68
    ĪĴ
    -0.67
    POSITIVE LOGITS
     cane
    1.18
     beet
    1.16
     syrup
    1.11
     coating
    0.87
     sugar
    0.78
     daddy
    0.78
     sweetness
    0.78
    water
    0.78
    coat
    0.78
    bush
    0.77
    Activations Density 0.041%

    No Known Activations