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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. 19983
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    complex and technical language relating to various fields or concepts

    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
    $$$$
    -0.72
     tremend
    -0.69
     DRAG
    -0.65
    è£ħ
    -0.65
    GD
    -0.65
     peg
    -0.65
     Kirin
    -0.64
     è£ı
    -0.59
     buck
    -0.59
    FN
    -0.58
    POSITIVE LOGITS
    atic
    1.03
    atically
    1.03
    itionally
    1.01
    ologically
    1.00
    hetically
    0.95
    iminary
    0.93
    alities
    0.91
    inarily
    0.90
    ational
    0.89
    urgical
    0.89
    Activations Density 0.208%

    No Known Activations