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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. 7-RES-JB
    11. 11181
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    Explanations

    food-related terms, specifically related to takeout or dining

    oai_token-act-pair · gpt-3.5-turbo

    specific food items or food-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Stras
    -0.66
     departments
    -0.64
    urches
    -0.64
     Grounds
    -0.61
     Oversight
    -0.61
     PACs
    -0.60
     Jindal
    -0.56
     NGOs
    -0.55
     collisions
    -0.55
     universities
    -0.54
    POSITIVE LOGITS
     souven
    0.72
    themed
    0.69
    ipop
    0.69
    è»
    0.67
     goodies
    0.66
     badge
    0.66
     necklace
    0.66
    xxxxxxxx
    0.62
     equivalents
    0.62
    prints
    0.61
    Activations Density 1.112%

    No Known Activations