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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. 22220
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    INDEX
    Explanations

    mentions of specific businesses and locations

    oai_token-act-pair · gpt-3.5-turbo

    names of restaurants and food establishments

    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
    inventoryQuantity
    -0.84
     constitu
    -0.77
     cytok
    -0.77
    REDACTED
    -0.74
     roadmap
    -0.74
     pollutants
    -0.73
     diagrams
    -0.73
     hormonal
    -0.73
    >[
    -0.73
     graphs
    -0.72
    POSITIVE LOGITS
     Cafe
    1.70
     Grill
    1.69
     Restaurant
    1.67
     Café
    1.66
     Tavern
    1.48
     Lounge
    1.48
     Restaur
    1.48
     Brewery
    1.44
     Pizza
    1.43
     Brewing
    1.42
    Activations Density 0.313%

    No Known Activations