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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. 12-RES-JB
    11. 4709
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    Explanations

    ingredients and recipe instructions in a cooking context

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to ingredients and components in recipes or technical descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    eur
    -0.77
    ¥µ
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    76561
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    sburgh
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    erenn
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    BLIC
    -0.69
    swer
    -0.69
    deals
    -0.69
    ãĥ©ãĥ³
    -0.69
    monary
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    POSITIVE LOGITS
     needed
    1.09
     necessary
    0.95
     required
    0.94
     kit
    0.92
     ingredients
    0.91
     suppliers
    0.90
     list
    0.87
     listed
    0.84
     diagrams
    0.83
     kits
    0.82
    Activations Density 0.160%

    No Known Activations