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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
    11. 2880
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    Explanations

    mentions of genetically modified (GE) crops or agriculture-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to agricultural production, specifically focusing on various types of crops

    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
    gettable
    -0.91
    olulu
    -0.82
    cester
    -0.79
    ahime
    -0.73
     cumbers
    -0.72
    cknowled
    -0.72
     Lumpur
    -0.71
    zbek
    -0.70
    nesota
    -0.70
    unci
    -0.70
    POSITIVE LOGITS
     crops
    1.07
     growers
    0.92
    seed
    0.84
     harvest
    0.79
     crop
    0.79
     plants
    0.78
    corn
    0.78
     vegetables
    0.76
     farmers
    0.76
    grain
    0.75
    Activations Density 0.011%

    No Known Activations