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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. 23747
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    Explanations

    terms related to cooking and ingredients, particularly meat dishes

    oai_token-act-pair · gpt-3.5-turbo

    specific actions or processes related to food preparation

    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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    Negative Logits
     Kinnikuman
    -0.71
    ãĥ¼ãĥ«
    -0.68
     Gates
    -0.68
     Pag
    -0.64
     Arbor
    -0.63
     Tolkien
    -0.63
     Romeo
    -0.62
    nu
    -0.62
     Hubbard
    -0.62
     Cosby
    -0.62
    POSITIVE LOGITS
    ebin
    0.87
    taboola
    0.76
    riet
    0.75
    erity
    0.73
    ILE
    0.71
    ripp
    0.69
    leeve
    0.67
     curator
    0.66
     veter
    0.66
     glim
    0.65
    Activations Density 0.000%

    No Known Activations