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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. 2-RES-JB
    11. 18244
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    Explanations

    mentions of cattle or livestock

    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    null
    -0.76
    asio
    -0.73
    onymous
    -0.72
    sole
    -0.71
    versive
    -0.68
    verson
    -0.67
    ogyn
    -0.66
     indisp
    -0.64
    arios
    -0.64
    izophren
    -0.62
    POSITIVE LOGITS
     cattle
    1.04
     herds
    0.91
     ranch
    0.83
     grazing
    0.82
     futures
    0.80
     livestock
    0.74
     graz
    0.74
    bones
    0.73
     prod
    0.70
     holdings
    0.69
    Activations Density 0.010%

    No Known Activations