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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. 7-RES-JB
    11. 3536
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    Explanations

    food-related items or recipes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "this" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alties
    -0.77
    adata
    -0.72
    amia
    -0.71
    omo
    -0.71
     Izan
    -0.70
    doms
    -0.70
    ivas
    -0.69
    andum
    -0.69
    una
    -0.68
    apes
    -0.68
    POSITIVE LOGITS
     installment
    0.96
     lowly
    0.91
     guy
    0.90
     week
    0.90
     iteration
    0.89
     newfound
    0.88
     latest
    0.88
     venerable
    0.87
     newest
    0.86
     trope
    0.86
    Activations Density 0.242%

    No Known Activations