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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. 9-RES-JB
    11. 24133
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    INDEX
    Explanations

    phrases related to recipes and cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    repetitive mentions of ingredients in recipes

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    arton
    -0.79
     Winds
    -0.76
    ¥µ
    -0.75
    iscopal
    -0.75
    udeb
    -0.74
    76561
    -0.72
    CLASSIFIED
    -0.71
    awar
    -0.71
    ŃĶ
    -0.71
    ©¶æ
    -0.70
    POSITIVE LOGITS
     ingredients
    1.21
     ingredient
    1.08
     additives
    0.94
     suppliers
    0.94
     substitution
    0.93
     substit
    0.88
    Ingredients
    0.86
     ingred
    0.84
    cream
    0.83
     kosher
    0.82
    Activations Density 0.043%

    No Known Activations