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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 15899
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    Explanations

    phrases related to working on tasks or projects

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "working on"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Bey
    -0.86
    Override
    -0.74
    Chel
    -0.71
    Jones
    -0.69
    ILA
    -0.69
    ennes
    -0.69
    flies
    -0.68
    Cry
    -0.68
    externalActionCode
    -0.67
    YY
    -0.66
    POSITIVE LOGITS
     behalf
    1.52
    eday
    0.94
     improving
    0.93
     developing
    0.82
     reforming
    0.77
     occasion
    0.76
     cultivating
    0.76
     refining
    0.75
     drafting
    0.75
     preserving
    0.74
    Activations Density 0.088%

    No Known Activations