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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. 12190
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    INDEX
    Explanations

    the word "yes" stated with different levels of certainty

    oai_token-act-pair · gpt-3.5-turbo

    affirmative responses or declarations

    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
    RAW
    -0.82
    leted
    -0.76
    lets
    -0.76
    Offline
    -0.73
    ertodd
    -0.71
    ufact
    -0.70
    perial
    -0.69
    let
    -0.66
     Journals
    -0.66
    andel
    -0.65
    POSITIVE LOGITS
    terday
    1.45
     yes
    0.98
     sir
    0.90
     YES
    0.81
    etheless
    0.81
     matter
    0.81
    yes
    0.69
     stranger
    0.67
    oho
    0.66
     indeed
    0.66
    Activations Density 0.014%

    No Known Activations