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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. 8-RES-JB
    6. 17469
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    Explanations

    numerical quantities and statistics

    oai_token-act-pair · gpt-3.5-turbo

    statistics and data related to quantities and demographics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffffcc
    -0.91
    ãĤ´ãĥ³
    -0.72
    çīĪ
    -0.70
    eln
    -0.64
     guise
    -0.62
    eatures
    -0.61
     sensibilities
    -0.60
    ĪĴ
    -0.59
    irlf
    -0.59
    awks
    -0.58
    POSITIVE LOGITS
     available
    0.82
     per
    0.81
     involved
    0.77
     consumed
    0.76
     surveyed
    0.75
     devoted
    0.73
     varies
    0.71
     required
    0.71
    izable
    0.71
     counted
    0.71
    Activations Density 0.331%

    No Known Activations