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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. 1-RES-JB
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    Explanations

    mentions of chefs.

    oai_token-act-pair · gpt-3.5-turbo

    mentions of chefs and culinary professionals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     PSP
    -0.76
    road
    -0.67
     Citizens
    -0.66
    mm
    -0.65
     Rockefeller
    -0.64
     UCHIJ
    -0.64
    sight
    -0.63
    TPS
    -0.63
    ought
    -0.63
    iations
    -0.62
    POSITIVE LOGITS
     chef
    1.48
     chefs
    1.37
    isine
    1.34
     Chef
    1.18
     cuisine
    1.03
     Restaur
    0.94
     cooks
    0.93
     kitchens
    0.93
     pastry
    0.90
     restaur
    0.90
    Activations Density 0.013%

    No Known Activations