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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. 3-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    references to technical terms and concepts related to decision-making and problem-solving methodologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hement
    -0.82
    ĸļ
    -0.79
     agre
    -0.76
     Strongh
    -0.74
     scrap
    -0.72
     unconditional
    -0.71
     streng
    -0.69
    xual
    -0.68
     veter
    -0.67
     destro
    -0.67
    POSITIVE LOGITS
    Advertisements
    0.97
    OVA
    0.97
    RAW
    0.95
    Posts
    0.92
    ////////////////////////////////
    0.92
    References
    0.90
    ================================================================
    0.90
    ................................................................
    0.90
    --------------------
    0.90
    âĵĺ
    0.89
    Activations Density 0.645%

    No Known Activations