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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. 3-RES-JB
    6. 963
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    Explanations

    the word "reps" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "reps" and related terms indicating repetition or frequency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Spit
    -0.71
    ous
    -0.70
    OUS
    -0.68
     Strait
    -0.67
     Blow
    -0.66
     Galile
    -0.64
     Gas
    -0.64
     tongues
    -0.63
     Fare
    -0.63
     Crimes
    -0.62
    POSITIVE LOGITS
     tremend
    1.17
    è¦ļéĨĴ
    1.12
    undown
    1.10
    onse
    1.05
    utations
    0.99
    nyder
    0.97
    arious
    0.92
    isters
    0.91
    heet
    0.90
    arser
    0.88
    Activations Density 0.006%

    No Known Activations