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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. 10-RES-JB
    11. 5149
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    Explanations

    sweet food items like chocolates and caramel

    oai_token-act-pair · gpt-3.5-turbo

    mentions of chocolate and related confections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kus
    -0.86
    ayson
    -0.79
    ctive
    -0.71
    ership
    -0.69
    ports
    -0.69
    WARD
    -0.68
    aday
    -0.68
    aeda
    -0.66
    nen
    -0.65
    port
    -0.65
    POSITIVE LOGITS
     pudding
    1.15
     cake
    1.06
     cane
    0.99
     desserts
    0.98
     flavored
    0.95
     butter
    0.95
    anut
    0.94
     chip
    0.94
     sauce
    0.94
     syrup
    0.94
    Activations Density 0.039%

    No Known Activations