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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
    11. 24557
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    Explanations

    terms related to improvement or enhancement

    oai_token-act-pair · gpt-3.5-turbo

    references to progress or enhancement in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥãĥī
    -0.72
     Olson
    -0.66
    zer
    -0.66
    chi
    -0.61
    zman
    -0.60
     Loaded
    -0.59
    primary
    -0.59
    rake
    -0.57
    itto
    -0.57
    opsis
    -0.57
    POSITIVE LOGITS
     improvement
    0.97
    xual
    0.90
    ment
    0.87
    ments
    0.85
     ende
    0.82
     enhancement
    0.80
    jriwal
    0.79
     attainment
    0.78
     modification
    0.77
    mental
    0.76
    Activations Density 0.020%

    No Known Activations