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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. 6-RES-JB
    11. 1675
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    Explanations

    names or mentions of a specific person

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "take."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ£
    -0.74
    enegger
    -0.69
    oad
    -0.67
     Weasley
    -0.63
    ãĤ¡
    -0.60
    cfg
    -0.59
    aldi
    -0.59
    fired
    -0.57
    inatory
    -0.56
    swick
    -0.55
    POSITIVE LOGITS
    Maker
    0.81
    warm
    0.80
    akes
    0.78
    ñ
    0.78
    aimon
    0.77
    asy
    0.73
    yon
    0.73
    velop
    0.73
    yi
    0.72
    maker
    0.71
    Activations Density 0.033%

    No Known Activations