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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. 5-RES-JB
    6. 5782
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    INDEX
    Explanations

    references to closures and obstacles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases related to closing or ending something

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Magikarp
    -0.66
     Terr
    -0.61
    PET
    -0.60
     Gry
    -0.59
    Kings
    -0.59
    ñ
    -0.58
     Lawyers
    -0.58
    kh
    -0.57
     guesses
    -0.57
    FactoryReloaded
    -0.57
    POSITIVE LOGITS
     doors
    0.96
     arteries
    0.86
     door
    0.84
     airspace
    0.78
     curtains
    0.77
    rency
    0.75
     seams
    0.72
     artery
    0.72
     Doors
    0.72
     prematurely
    0.71
    Activations Density 0.088%

    No Known Activations