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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. 14576
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    Explanations

    references to wealth or financial success

    oai_token-act-pair · gpt-3.5-turbo

    references to wealth or financial success

    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
    oval
    -0.76
    ivity
    -0.76
    organic
    -0.75
    APD
    -0.74
    orney
    -0.71
    itarian
    -0.71
    itative
    -0.68
    INTON
    -0.67
    ells
    -0.67
    cible
    -0.66
    POSITIVE LOGITS
     fortune
    1.11
     fortunes
    0.95
     tremend
    0.86
     parachute
    0.73
     infl
    0.71
     Seym
    0.70
     stash
    0.68
     earnings
    0.68
    awaru
    0.67
     prosper
    0.66
    Activations Density 0.009%

    No Known Activations