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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. 949
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    Explanations

    w measurements and ingredients in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    measurements related to cooking and ingredients

    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
     Halls
    -0.80
    otos
    -0.76
    ho
    -0.73
     skelet
    -0.71
    ¥µ
    -0.71
     halls
    -0.71
     Coliseum
    -0.70
    banks
    -0.70
    hall
    -0.70
    ocrin
    -0.69
    POSITIVE LOGITS
     tsp
    1.00
     dab
    0.98
     teaspoons
    0.98
     teaspoon
    0.92
    poons
    0.91
     tablespoons
    0.88
     tablespoon
    0.87
     ABV
    0.83
     baking
    0.81
     vinegar
    0.77
    Activations Density 0.014%

    No Known Activations