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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. 1-RES-JB
    11. 5225
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    Explanations

    references to food-related entities or topics

    oai_token-act-pair · gpt-3.5-turbo

    references to food and related regulatory agencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stern
    -0.81
    76561
    -0.75
    eters
    -0.72
     bore
    -0.72
    SPONSORED
    -0.71
    20439
    -0.68
     Twain
    -0.66
     Wink
    -0.65
    gow
    -0.64
     Harley
    -0.63
    POSITIVE LOGITS
     Food
    0.98
    Food
    0.91
    stuff
    0.90
    food
    0.88
    ãĥ¼ãĥ³
    0.88
     nutrit
    0.87
     foods
    0.86
     biscuits
    0.86
    poon
    0.84
    stasy
    0.83
    Activations Density 0.011%

    No Known Activations