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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. 12514
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    Explanations

    mentions of eating activities

    oai_token-act-pair · gpt-3.5-turbo

    references to eating and food consumption

    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
    isSpecialOrderable
    -0.75
     borrower
    -0.72
    unci
    -0.70
    elight
    -0.67
    xus
    -0.66
    20439
    -0.66
     borrowers
    -0.65
    deal
    -0.65
    ifer
    -0.64
     easing
    -0.64
    POSITIVE LOGITS
     breakfast
    1.17
     lunch
    1.09
     meat
    1.05
     sushi
    1.03
     cake
    1.03
     popcorn
    1.01
     pork
    1.01
     dinner
    1.00
     meals
    0.99
     steak
    0.98
    Activations Density 0.066%

    No Known Activations