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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. 0-RES-JB
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    Explanations

    foods or terms related to food

    oai_token-act-pair · gpt-3.5-turbo

    references to food products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Spectre
    -0.67
     setup
    -0.67
     frame
    -0.67
     Clarke
    -0.65
     asymm
    -0.65
     Rost
    -0.65
     Odin
    -0.64
     symm
    -0.63
     sidel
    -0.61
     eras
    -0.61
    POSITIVE LOGITS
    food
    4.02
    Food
    2.82
     food
    2.11
     Food
    2.06
    nutrition
    1.80
     foods
    1.80
     Foods
    1.71
    meat
    1.56
    Eat
    1.43
    Meat
    1.43
    Activations Density 0.015%

    No Known Activations