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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. 4-RES-JB
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    Explanations

    mentions of Mexican cuisine, specifically tacos

    oai_token-act-pair · gpt-3.5-turbo

    references to tacos and related food items

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

    No Comments

    Negative Logits
    manship
    -0.89
    igree
    -0.81
    kj
    -0.79
    enburg
    -0.78
    quartered
    -0.77
    */(
    -0.74
    imental
    -0.74
    lund
    -0.74
     Known
    -0.73
    ufact
    -0.71
    POSITIVE LOGITS
    otle
    0.94
     seasoning
    0.87
    Latin
    0.85
     peppers
    0.82
    atl
    0.82
     taco
    0.81
     chili
    0.79
    Spanish
    0.77
     Fiesta
    0.76
    rito
    0.74
    Activations Density 0.013%

    No Known Activations