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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. 1-RES-JB
    6. 19816
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    INDEX
    Explanations

    phrases related to specific time periods or events

    oai_token-act-pair · gpt-3.5-turbo

    references to time, specifically hours

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umo
    -0.71
    PsyNetMessage
    -0.70
    ictions
    -0.70
    usal
    -0.68
    ifiable
    -0.67
     discharge
    -0.67
    ulatory
    -0.66
    ulated
    -0.66
    iction
    -0.66
    uton
    -0.65
    POSITIVE LOGITS
     Ago
    1.15
    terness
    1.02
     Hour
    1.01
     Lauder
    0.94
    chen
    0.81
    DAQ
    0.77
     ILCS
    0.75
     Hours
    0.75
     Wife
    0.73
    cade
    0.73
    Activations Density 0.013%

    No Known Activations