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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 840
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    Explanations

    mentions of eating food

    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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    channelAvailability
    -0.75
     Lash
    -0.70
    worthiness
    -0.69
     Stellar
    -0.68
     Nich
    -0.68
     Brist
    -0.67
     Jenner
    -0.66
     Angola
    -0.66
    elight
    -0.64
     Stra
    -0.64
    POSITIVE LOGITS
     breakfast
    1.07
     meals
    1.03
     foods
    1.00
     eaten
    1.00
     meat
    0.97
     scraps
    0.97
     nutrit
    0.96
     lunch
    0.95
     cake
    0.95
     food
    0.93
    Activations Density 0.042%

    No Known Activations