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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. 0-RES-JB
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    Explanations

    words related to environmental or food contamination

    oai_token-act-pair · gpt-3.5-turbo

    terms related to contamination, particularly in environmental contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wheel
    -0.80
     Brave
    -0.69
     Vision
    -0.67
    Kings
    -0.66
     Stats
    -0.65
    YN
    -0.65
     Kick
    -0.65
    lance
    -0.64
    ney
    -0.64
    riage
    -0.63
    POSITIVE LOGITS
     contaminated
    3.30
     contamination
    3.14
     contam
    2.80
     contamin
    2.71
     contaminants
    2.34
     polluted
    2.14
     tainted
    2.01
     radioactive
    1.69
     poisoned
    1.58
    obyl
    1.56
    Activations Density 0.032%

    No Known Activations