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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. 0-RES-JB
    11. 13355
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    Explanations

    references to chocolate or chocolate-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to chocolate

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivals
    -0.81
    aq
    -0.74
    ERA
    -0.73
     Reed
    -0.71
    ctive
    -0.70
    vernment
    -0.67
     Hutch
    -0.66
    River
    -0.65
    oner
    -0.65
    ari
    -0.64
    POSITIVE LOGITS
     chocolate
    3.46
     Chocolate
    3.06
     cocoa
    2.43
    ocolate
    2.31
     candy
    1.70
     dessert
    1.61
     sweets
    1.59
     caramel
    1.58
     espresso
    1.57
     strawberry
    1.55
    Activations Density 0.019%

    No Known Activations