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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. 9-RES-JB
    11. 17208
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    keywords related to genetic modification and processed foods

    oai_token-act-pair · gpt-3.5-turbo

    terms related to genetically modified organisms and processed foods

    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
    ureau
    -0.84
    eeks
    -0.83
    ĺħ
    -0.78
    committee
    -0.78
    illes
    -0.76
    pload
    -0.76
    Dispatch
    -0.75
    uckland
    -0.75
    notice
    -0.74
    aez
    -0.73
    POSITIVE LOGITS
     foods
    1.46
     substances
    1.39
     beverages
    1.27
     materials
    1.20
     products
    1.20
     additives
    1.15
     oils
    1.12
     beverage
    1.12
     chemicals
    1.11
     compounds
    1.10
    Activations Density 0.219%

    No Known Activations