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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. 8658
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    INDEX
    Explanations

    mentions of organic matter or organic-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of organic materials and practices

    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
    yth
    -0.77
    yah
    -0.74
    interrupted
    -0.73
    gerald
    -0.71
    hare
    -0.69
    awar
    -0.69
    yip
    -0.69
    hoff
    -0.68
    rey
    -0.68
    rar
    -0.65
    POSITIVE LOGITS
     chemist
    0.88
     fertilizer
    0.88
     synthesis
    0.88
     farming
    0.87
    organic
    0.86
     gardening
    0.86
     acids
    0.86
     cotton
    0.83
     chemistry
    0.82
     solvent
    0.82
    Activations Density 0.044%

    No Known Activations