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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 9-RES-JB
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    phrases related to genetically modified organisms (GMOs) and the herbicide glyphosate

    oai_token-act-pair · gpt-3.5-turbo

    mentions of genetically modified organisms (GMOs) and related chemicals, particularly glyphosate

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aldo
    -1.05
    immer
    -0.78
    hip
    -0.72
    socket
    -0.72
     Lumpur
    -0.70
    nice
    -0.69
    mble
    -0.68
    swick
    -0.66
    ahime
    -0.65
     CLIENT
    -0.64
    POSITIVE LOGITS
    osate
    1.06
     crops
    1.04
    otin
    1.00
     GMO
    1.00
    ocide
    1.00
     glyphosate
    0.99
     pesticides
    0.99
    icides
    0.94
     pesticide
    0.92
     Monsanto
    0.91
    Activations Density 0.072%

    No Known Activations