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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. 23238
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    Explanations

    food items and ingredients, especially seafood and shellfish

    oai_token-act-pair · gpt-3.5-turbo

    various types of food and their nutritional properties

    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
    edIn
    -0.70
     outpost
    -0.69
    nesday
    -0.68
     staffing
    -0.66
     countdown
    -0.63
    ezvous
    -0.63
     overseeing
    -0.63
     rapport
    -0.63
    lihood
    -0.62
     ensu
    -0.61
    POSITIVE LOGITS
     powd
    0.99
     powder
    0.97
     derivatives
    0.96
    beans
    0.95
     varieties
    0.92
     substitutes
    0.92
     oils
    0.90
     fibers
    0.90
     flakes
    0.89
     grains
    0.88
    Activations Density 0.301%

    No Known Activations