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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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    references to pesticides and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to pesticides and their effects

    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
    aldo
    -0.90
     Apostles
    -0.79
    neys
    -0.77
    eye
    -0.75
    hani
    -0.75
    AUD
    -0.74
    reads
    -0.72
    amen
    -0.71
    ctica
    -0.69
     Favor
    -0.69
    POSITIVE LOGITS
     pesticides
    1.18
    icides
    1.12
     pesticide
    1.11
    icide
    1.09
     spraying
    1.07
     chemicals
    0.96
     residue
    0.96
     poisoning
    0.95
     glyphosate
    0.94
     residues
    0.93
    Activations Density 0.015%

    No Known Activations