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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. 10-RES-JB
    6. 18041
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    INDEX
    Explanations

    unexpected or important revelations or twists in a story

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases that indicate surprising or significant events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endars
    -0.73
     Decay
    -0.66
    emale
    -0.66
    azeera
    -0.65
     cabinets
    -0.65
    abella
    -0.64
     Administ
    -0.64
     originals
    -0.64
    hner
    -0.63
     Dise
    -0.63
    POSITIVE LOGITS
    :
    1.10
    :'
    1.00
    :,
    0.97
    :-
    0.95
    :(
    0.95
     whereby
    0.94
    !:
    0.92
    :[
    0.92
     involving
    0.92
    :#
    0.92
    Activations Density 0.367%

    No Known Activations