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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 5093
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    Explanations

    code-related terms and instructions

    oai_token-act-pair · gpt-3.5-turbo

    references to performance metrics and statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    quickShipAvailable
    -0.83
    terday
    -0.68
     hindsight
    -0.67
    times
    -0.61
     times
    -0.58
    forth
    -0.58
    elight
    -0.56
    wolves
    -0.54
    inally
    -0.51
     vividly
    -0.51
    POSITIVE LOGITS
     rul
    0.47
     base
    0.47
    OM
    0.47
    ank
    0.46
    oll
    0.44
    cend
    0.43
    agra
    0.43
    {
    0.43
    eneg
    0.42
    CLA
    0.42
    Activations Density 0.537%

    No Known Activations