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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. 14692
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    Explanations

    phrases related to different types of food items, especially those containing chocolate

    oai_token-act-pair · gpt-3.5-turbo

    references to 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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    ayson
    -0.84
    kus
    -0.79
    arity
    -0.76
    ership
    -0.73
    ports
    -0.73
    umerable
    -0.72
    aeda
    -0.72
    uploads
    -0.69
    port
    -0.69
    aday
    -0.68
    POSITIVE LOGITS
     pudding
    1.12
     syrup
    1.03
     cake
    1.02
     cane
    0.98
     chip
    0.97
     flavored
    0.96
    anut
    0.93
     bars
    0.93
     flav
    0.91
     chips
    0.90
    Activations Density 0.057%

    No Known Activations