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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. 7-RES-JB
    6. 1219
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    Explanations

    phrases related to specific points in time

    oai_token-act-pair · gpt-3.5-turbo

    references to specific points in time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inav
    -0.77
    avorite
    -0.69
    emort
    -0.67
     ank
    -0.67
     Texture
    -0.66
    uctions
    -0.66
    inis
    -0.65
    ateurs
    -0.64
     pancakes
    -0.64
     fireplace
    -0.61
    POSITIVE LOGITS
    glass
    0.78
     opp
    0.76
    cale
    0.75
    HCR
    0.75
    cia
    0.73
     sensitive
    0.73
    wcs
    0.72
    lot
    0.72
    neck
    0.71
    sensitive
    0.71
    Activations Density 0.032%

    No Known Activations