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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. 1387
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    Explanations

    phrases related to the importance or significance of various activities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the importance of various actions and contributions

    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
    DragonMagazine
    -0.99
    umbered
    -0.80
    oub
    -0.73
    imilar
    -0.73
    onyms
    -0.71
     Cosponsors
    -0.71
    wic
    -0.68
    quished
    -0.67
    reenshot
    -0.65
    estyles
    -0.65
    POSITIVE LOGITS
     maintaining
    1.41
     achieving
    1.36
     ensuring
    1.33
     unlocking
    1.31
     determining
    1.30
     sustaining
    1.28
     preserving
    1.26
     understanding
    1.23
     overcoming
    1.20
     fostering
    1.17
    Activations Density 0.193%

    No Known Activations