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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. 4-RES-JB
    11. 6029
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    Explanations

    descriptive words related to cooking and food preparation

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to cooking and food preparation

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

    No Comments

    Negative Logits
     Gamergate
    -0.85
     arbit
    -0.79
     advers
    -0.79
     RSA
    -0.77
     Oswald
    -0.77
     DPR
    -0.76
     Kissinger
    -0.76
     Assange
    -0.74
     elector
    -0.74
     constitutional
    -0.74
    POSITIVE LOGITS
     creamy
    1.18
     veggies
    1.11
     Cooking
    1.08
     delicious
    1.08
     Ingredients
    1.06
    Recipe
    1.05
     aroma
    1.03
     Nutrition
    1.03
     strawberry
    1.03
     gluten
    1.02
    Activations Density 1.265%

    No Known Activations