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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. 22724
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    Explanations

    keywords indicating the action of 'through' or events that occur as a result of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that begin with "Through" or indicate causation or condition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     â̦"
    -0.67
    imm
    -0.61
    umbn
    -0.58
     tresp
    -0.58
    unders
    -0.57
     Berks
    -0.57
     harbour
    -0.57
     favour
    -0.57
    andering
    -0.56
     kindred
    -0.56
    POSITIVE LOGITS
    itialized
    0.88
    cknowled
    0.86
    ward
    0.73
    ertain
    0.72
     Racer
    0.68
     Press
    0.67
    ventory
    0.66
    forming
    0.66
     Issue
    0.66
    chwitz
    0.65
    Activations Density 0.127%

    No Known Activations