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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. 1-RES-JB
    11. 20634
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    Explanations

    references to livestock, particularly cattle

    oai_token-act-pair · gpt-3.5-turbo

    references to cattle and livestock-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orsche
    -0.76
    asio
    -0.70
     Doctrine
    -0.69
     Stras
    -0.66
    versive
    -0.61
    onymous
    -0.61
    oppers
    -0.60
    verson
    -0.60
     Wonder
    -0.59
    ifles
    -0.59
    POSITIVE LOGITS
     cattle
    1.21
     herds
    1.04
     ranch
    0.99
     grazing
    0.91
     graz
    0.81
     cows
    0.81
    meat
    0.80
     pasture
    0.80
     livestock
    0.79
    hide
    0.78
    Activations Density 0.008%

    No Known Activations