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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
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    Explanations

    phrases related to dairy products

    oai_token-act-pair · gpt-3.5-turbo

    references to dairy products and the dairy industry

    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
    inx
    -0.76
     Brow
    -0.75
    arters
    -0.71
     eminent
    -0.69
    umper
    -0.67
     Rapp
    -0.64
    ockets
    -0.64
    alez
    -0.63
    itud
    -0.62
     McKenna
    -0.62
    POSITIVE LOGITS
     dairy
    0.99
    bean
    0.92
    farm
    0.84
     milk
    0.82
    weed
    0.81
     Milk
    0.81
     farm
    0.80
    mil
    0.80
    ãĥ¼ãĤ¯
    0.80
    haus
    0.80
    Activations Density 0.010%

    No Known Activations