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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. 10-RES-JB
    11. 17516
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    Explanations

    terms related to launching activities or events

    oai_token-act-pair · gpt-3.5-turbo

    references to launch events or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    redo
    -0.71
     Leilan
    -0.68
     Howe
    -0.67
    uala
    -0.66
    ophile
    -0.63
     Answer
    -0.63
    orsi
    -0.62
    oph
    -0.61
     constitu
    -0.61
    venge
    -0.61
    POSITIVE LOGITS
    pad
    1.43
    nings
    0.92
     pad
    0.92
     date
    0.89
     pads
    0.83
    launch
    0.83
    dates
    0.82
    date
    0.81
     window
    0.80
    Pad
    0.76
    Activations Density 0.035%

    No Known Activations