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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. 8-RES-JB
    11. 11198
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    Explanations

    references to scientific concepts or studies

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific concepts and principles

    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
    drops
    -0.79
    trap
    -0.71
    wic
    -0.68
    zik
    -0.68
    tower
    -0.66
    eper
    -0.66
    atra
    -0.66
    coni
    -0.65
    stra
    -0.65
    matched
    -0.65
    POSITIVE LOGITS
     curiosity
    1.01
     literacy
    0.98
     fiction
    0.95
     misconduct
    0.91
     research
    0.87
    ĨĴ
    0.86
     inquiry
    0.85
     discoveries
    0.82
     advisory
    0.82
     illiter
    0.81
    Activations Density 0.033%

    No Known Activations