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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. 3-RES-JB
    11. 17417
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    Explanations

    the word "Ord" or variations of it, potentially related to orders, ordinances, or names

    oai_token-act-pair · gpt-3.5-turbo

    references to ordination and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    STEM
    -0.75
    OHN
    -0.74
    ï¸ı
    -0.73
    =-=-=-=-
    -0.72
    Shock
    -0.70
    ï¸
    -0.69
    Improve
    -0.68
    SEA
    -0.67
    GROUND
    -0.67
     Kyoto
    -0.67
    POSITIVE LOGITS
    nance
    1.61
    inarily
    1.47
    inary
    1.28
    inances
    1.21
    inal
    1.15
    inance
    1.13
    ination
    1.09
    eals
    1.08
    inent
    1.00
    inated
    0.99
    Activations Density 0.005%

    No Known Activations