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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. 7-RES-JB
    6. 5793
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    Explanations

    terms related to codenames or codifying

    oai_token-act-pair · gpt-3.5-turbo

    references to "cod" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Parish
    -0.80
    IELD
    -0.76
    ACP
    -0.71
    olicy
    -0.67
    INTER
    -0.66
     Prosper
    -0.63
     Pradesh
    -0.63
    HY
    -0.63
    zzi
    -0.62
    LV
    -0.61
    POSITIVE LOGITS
    ename
    1.34
    ependent
    1.17
    irect
    1.04
    epend
    1.01
    ependence
    1.00
    ãĥį
    0.98
    ãĥĥãĥī
    0.97
    ified
    0.95
    gers
    0.94
    ãĥ¼ãĥ
    0.92
    Activations Density 0.022%

    No Known Activations