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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. 10342
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    Explanations

    names and specific information about individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and their actions

    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
    æ©Ł
    -0.75
    ãĥĦ
    -0.66
    DCS
    -0.64
    Ħ¢
    -0.59
    ãĤ±
    -0.54
    wcsstore
    -0.54
    )?
    -0.52
    å¥
    -0.51
    ãĥĥãĥĪ
    -0.51
    ãĤ«
    -0.51
    POSITIVE LOGITS
    ecause
    0.61
     though
    0.57
     whereas
    0.53
    ;
    0.53
     however
    0.52
     but
    0.52
     because
    0.51
     [];
    0.50
     (>
    0.48
     Ezek
    0.47
    Activations Density 3.727%

    No Known Activations