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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. 1-RES-JB
    11. 5323
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    Explanations

    mentions of coworkers or colleagues in a professional setting

    oai_token-act-pair · gpt-3.5-turbo

    references to coworkers or colleagues in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acious
    -0.63
    eb
    -0.61
     ESV
    -0.60
    overe
    -0.60
    aciously
    -0.59
     defendants
    -0.59
     BUS
    -0.59
    anche
    -0.59
     pricey
    -0.58
    oto
    -0.58
    POSITIVE LOGITS
    workers
    0.95
    é¾įå¥ij士
    0.90
    ĸļ
    0.90
    rador
    0.88
    hler
    0.87
    terday
    0.86
    -+-+
    0.86
    itiveness
    0.83
    ority
    0.82
    ertodd
    0.79
    Activations Density 0.017%

    No Known Activations