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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

    references to cooking-related appliances, particularly ovens

    oai_token-act-pair · gpt-3.5-turbo

    references to cooking appliances, particularly ovens

    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
     Byrne
    -0.79
    vin
    -0.71
    uations
    -0.68
    eph
    -0.65
    Bah
    -0.64
    Nar
    -0.64
    ward
    -0.64
    talk
    -0.63
    omas
    -0.63
    uation
    -0.62
    POSITIVE LOGITS
     oven
    3.84
     furnace
    1.72
     stove
    1.59
    oven
    1.56
     bake
    1.51
     freezer
    1.51
     microwave
    1.49
     fridge
    1.46
     refrigerator
    1.46
     cooker
    1.45
    Activations Density 0.027%

    No Known Activations