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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. 11-RES-JB
    11. 12977
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    Explanations

    business-related terms, specifically related to conferences and calls

    oai_token-act-pair · gpt-3.5-turbo

    references to conferences and meetings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ter
    -0.82
    ionage
    -0.72
    lev
    -0.72
     Pwr
    -0.71
    isu
    -0.70
    tsy
    -0.70
    isons
    -0.66
    utenberg
    -0.60
    shock
    -0.59
    ym
    -0.58
    POSITIVE LOGITS
     attendees
    0.97
     keynote
    0.94
     call
    0.94
     convened
    0.93
    ference
    0.89
     room
    0.88
     invite
    0.82
     Proceedings
    0.82
     proceedings
    0.82
     organisers
    0.82
    Activations Density 0.051%

    No Known Activations