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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. 1-RES-JB
    11. 6454
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to scientific concepts and discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ...]
    -0.77
    oning
    -0.74
    pora
    -0.72
    drops
    -0.72
     Cull
    -0.67
    zik
    -0.67
    VP
    -0.66
    ceptor
    -0.65
    doms
    -0.64
    othy
    -0.64
    POSITIVE LOGITS
     fiction
    0.95
     curiosity
    0.94
     scientific
    0.93
     science
    0.91
     inquiry
    0.89
     scientist
    0.88
    ĨĴ
    0.87
     literacy
    0.86
    natureconservancy
    0.86
     sciences
    0.85
    Activations Density 0.012%

    No Known Activations