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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. 8-RES-JB
    6. 15230
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    Explanations

    verbs related to planning, financing, and organizing projects

    oai_token-act-pair · gpt-3.5-turbo

    actions related to funding, development, and project management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    catentry
    -0.81
    quickShipAvailable
    -0.75
    uyomi
    -0.70
    Interstitial
    -0.69
     ?)
    -0.69
     wont
    -0.68
    ":"/
    -0.64
     Thumbnails
    -0.64
     sidx
    -0.63
     Flavoring
    -0.63
    POSITIVE LOGITS
    uate
    0.79
    igate
    0.76
    enance
    0.70
     feasibility
    0.66
     unspecified
    0.66
     UTC
    0.63
    eport
    0.62
    igible
    0.61
     DOE
    0.61
     Gorsuch
    0.61
    Activations Density 0.372%

    No Known Activations