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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. 15537
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    Explanations

    positive expressions related to food

    oai_token-act-pair · gpt-3.5-turbo

    terms related to culinary enjoyment or indulgence

    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
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    No Comments

    Negative Logits
    idine
    -0.79
    umann
    -0.72
     Strait
    -0.71
    ciplinary
    -0.71
    rape
    -0.69
    ethy
    -0.68
    uras
    -0.68
    hetically
    -0.67
    olson
    -0.67
    ipal
    -0.66
    POSITIVE LOGITS
     fodder
    0.87
    nuts
    0.82
     goodies
    0.79
     goodness
    0.78
    ãģĨ
    0.73
     gravy
    0.73
     marrow
    0.73
    andise
    0.72
    åij
    0.71
    Ò
    0.71
    Activations Density 0.025%

    No Known Activations