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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. 5-RES-JB
    6. 22408
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    Explanations

    exact numbers preceded by the word "about"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that provide approximate numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NEY
    -0.65
    ters
    -0.65
    achus
    -0.65
     Solution
    -0.65
     Bomber
    -0.64
    OPA
    -0.64
    ses
    -0.64
     Comed
    -0.62
    ande
    -0.62
    heses
    -0.62
    POSITIVE LOGITS
    300
    0.87
    600
    0.83
    200
    0.82
    capacity
    0.76
    500
    0.75
     ½
    0.74
     cubic
    0.73
    800
    0.73
     half
    0.73
     380
    0.72
    Activations Density 0.088%

    No Known Activations