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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. 5126
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    Explanations

    scientific discoveries and breakthroughs

    oai_token-act-pair · gpt-3.5-turbo

    discoveries in scientific research

    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
    Not in Any Lists

    No Comments

    Negative Logits
    respective
    -0.75
    udeb
    -0.74
    onest
    -0.74
    committee
    -0.71
    intend
    -0.70
    ership
    -0.67
    fell
    -0.66
    visors
    -0.66
    Ops
    -0.65
    tesy
    -0.65
    POSITIVE LOGITS
     habitable
    1.10
     clues
    1.03
     fossils
    1.03
     extrater
    1.01
     gravitational
    1.01
     biomark
    0.96
     molecules
    0.96
     microbes
    0.93
     methane
    0.92
     interstellar
    0.92
    Activations Density 0.249%

    No Known Activations