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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. 19693
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    INDEX
    Explanations

    references to the initials "SS" at different levels of significance

    oai_token-act-pair · gpt-3.5-turbo

    references to specific medical or health-related concepts, particularly those associated with "SS"

    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
    staking
    -0.89
    tics
    -0.87
    Downloadha
    -0.71
    bidden
    -0.71
    tic
    -0.69
     Advertisement
    -0.68
     vain
    -0.67
    liness
    -0.66
    tical
    -0.66
     stresses
    -0.65
    POSITIVE LOGITS
    BM
    0.99
    avorite
    0.89
    emen
    0.86
    gt
    0.84
    agogue
    0.83
    MU
    0.81
    DP
    0.80
    SS
    0.79
    dinand
    0.79
    HT
    0.78
    Activations Density 0.013%

    No Known Activations