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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. 12-RES-JB
    11. 4381
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    Explanations

    scientific and technical terms related to physical phenomena and measurements in a text

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    key concepts related to the fundamental interactions and properties of matter and energy in the universe

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     millenn
    -0.82
    PDATE
    -0.79
    ThumbnailImage
    -0.77
     practition
    -0.74
    TIT
    -0.73
    Ü
    -0.72
    Þ
    -0.70
    retty
    -0.68
    Saudi
    -0.67
    ufact
    -0.66
    POSITIVE LOGITS
     collide
    1.30
     orbit
    1.20
     propagate
    1.19
     behave
    1.14
     emit
    1.12
     vibr
    1.09
     annihil
    1.07
     recomb
    1.07
     scatter
    1.07
     oscill
    1.05
    Activations Density 0.180%

    No Known Activations