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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. 24540
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    Explanations

    phrases where a conclusion or key point is being made

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of a "bottom line" or conclusion

    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
    imar
    -0.78
     UCHIJ
    -0.74
    DOM
    -0.74
    estation
    -0.72
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.68
    oided
    -0.68
    anical
    -0.68
    eties
    -0.67
    atars
    -0.65
    ãĥĺ
    -0.64
    POSITIVE LOGITS
    nings
    0.80
     boils
    0.77
     takeaway
    0.71
     margin
    0.65
    notes
    0.65
    chart
    0.65
    breaks
    0.62
    aminer
    0.61
    :
    0.61
     Solitaire
    0.60
    Activations Density 0.034%

    No Known Activations