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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. 3-RES-JB
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    Explanations

    mentions of livestock farming and related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to cattle and livestock

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asio
    -0.74
    orsche
    -0.74
    SPONSORED
    -0.69
    姫
    -0.67
    versive
    -0.67
    ãĥ´ãĤ¡
    -0.65
    UTC
    -0.64
     Doctrine
    -0.64
    izophren
    -0.62
    ifles
    -0.61
    POSITIVE LOGITS
     cattle
    0.98
    bones
    0.97
     herds
    0.96
     carc
    0.90
    meat
    0.89
     ranch
    0.89
    yard
    0.88
     grazing
    0.87
    bone
    0.86
     graz
    0.86
    Activations Density 0.011%

    No Known Activations