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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. 7-RES-JB
    11. 14359
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    Explanations

    mentions of soy and soy-related products

    oai_token-act-pair · gpt-3.5-turbo

    references to soy products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.90
    hani
    -0.82
     CBI
    -0.74
     Imran
    -0.70
    cffffcc
    -0.69
     Humanity
    -0.67
     Anonymous
    -0.67
    istically
    -0.66
    umbnail
    -0.65
    UTERS
    -0.64
    POSITIVE LOGITS
    bean
    1.69
    beans
    1.62
    bowl
    0.98
    food
    0.89
    lda
    0.88
     sauce
    0.88
    ju
    0.84
    wu
    0.82
    atown
    0.81
    bour
    0.78
    Activations Density 0.021%

    No Known Activations