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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. 0-RES-JB
    11. 2573
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    Explanations

    phrases related to various meetings

    oai_token-act-pair · gpt-3.5-turbo

    references to various meetings, indicating a focus on formal gatherings or interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udder
    -0.66
    ader
    -0.66
    owicz
    -0.65
     Ampl
    -0.63
     Petty
    -0.63
    Tags
    -0.62
    ="#
    -0.62
     CTRL
    -0.61
    Leod
    -0.61
     pse
    -0.60
    POSITIVE LOGITS
     meeting
    3.60
     Meeting
    2.68
     meetings
    2.41
     meet
    1.95
    meet
    1.74
     Meet
    1.64
     gathering
    1.60
     hearing
    1.48
     meets
    1.43
     briefing
    1.43
    Activations Density 0.014%

    No Known Activations