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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. 2-RES-JB
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    Explanations

    mentions of spicy food ingredients, particularly chili peppers

    oai_token-act-pair · gpt-3.5-turbo

    terms related to spicy food and chili peppers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.86
    lied
    -0.83
    busters
    -0.82
    deen
    -0.80
    remlin
    -0.79
    lying
    -0.78
    raviolet
    -0.77
    nces
    -0.77
    govtrack
    -0.75
     Pwr
    -0.74
    POSITIVE LOGITS
     peppers
    1.28
     chili
    1.25
     pepper
    1.02
     Chili
    1.02
     spicy
    0.85
     stove
    0.85
     garlic
    0.83
     cloves
    0.78
    iso
    0.77
     peanut
    0.76
    Activations Density 0.008%

    No Known Activations