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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. 10-RES-JB
    6. 19496
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    INDEX
    Explanations

    expressions related to making comparisons or evaluating options

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements, quantities, or numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Monstrous
    -0.56
     entire
    -0.54
     outright
    -0.53
     stuff
    -0.50
     shit
    -0.50
     simulac
    -0.49
     GG
    -0.49
     whole
    -0.48
     likewise
    -0.48
     utterly
    -0.47
    POSITIVE LOGITS
    rin
    0.59
    rika
    0.58
    ocrates
    0.55
    llah
    0.54
    TPPStreamerBot
    0.54
    thens
    0.54
    ãĤ§
    0.53
    igr
    0.53
    acement
    0.52
    ¯¯¯¯¯¯¯¯
    0.51
    Activations Density 0.763%

    No Known Activations