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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. 4188
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    Explanations

    specific retail store names, particularly focusing on supermarkets and fast-food restaurant chains

    oai_token-act-pair · gpt-3.5-turbo

    references to specific grocery stores and restaurant chains

    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
    obin
    -0.85
    Reviewer
    -0.81
    udeb
    -0.78
    iframe
    -0.74
     theorem
    -0.73
    jad
    -0.73
     Emin
    -0.71
    req
    -0.69
     Adin
    -0.69
    vind
    -0.69
    POSITIVE LOGITS
     Stores
    1.53
     Restaur
    1.15
     stores
    1.11
     Foods
    1.06
     Corp
    0.99
     Holdings
    0.98
     Store
    0.97
     Brands
    0.95
     restaurants
    0.95
     Corporation
    0.95
    Activations Density 0.171%

    No Known Activations