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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. 7-RES-JB
    11. 10885
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    Explanations

    numbers and technical terms related to energy and technology

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable measures and statistics related to energy production and consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Emblem
    -0.61
    ibrary
    -0.55
     ðŁij
    -0.53
    ãĥ¼ãĤ¯
    -0.53
    ãĤ°
    -0.52
     AND
    -0.51
    ACTED
    -0.50
    DragonMagazine
    -0.50
    PLIED
    -0.48
     Flake
    -0.48
    POSITIVE LOGITS
     alike
    1.10
     thereof
    1.03
     respectively
    0.93
     thereto
    0.85
     thereafter
    0.82
     therein
    0.81
     versa
    0.80
     accordingly
    0.77
    ).[
    0.72
     afterward
    0.59
    Activations Density 1.413%

    No Known Activations