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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. 22241
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    INDEX
    Explanations

    phrases related to continuous or ongoing action

    oai_token-act-pair · gpt-3.5-turbo

    the word "doing" in various contexts

    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
    lights
    -0.69
    Tier
    -0.69
    mare
    -0.67
    mares
    -0.66
    )=(
    -0.66
    flags
    -0.65
    liner
    -0.65
    pter
    -0.64
    case
    -0.63
    sg
    -0.63
    POSITIVE LOGITS
    berman
    0.80
    omething
    0.79
    pez
    0.77
     nothing
    0.76
     something
    0.74
    ggy
    0.73
    VIDIA
    0.73
    女
    0.73
     terribly
    0.71
    lyak
    0.71
    Activations Density 0.036%

    No Known Activations