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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. 13352
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    INDEX
    Explanations

    phrases expressing enthusiasm or positive sentiment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of high satisfaction or praise

    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
    cius
    -0.93
    lihood
    -0.83
    ð
    -0.79
    FactoryReloaded
    -0.74
    limit
    -0.73
    DragonMagazine
    -0.71
    Limit
    -0.71
    assium
    -0.68
    channelAvailability
    -0.68
    afety
    -0.67
    POSITIVE LOGITS
     enjoyable
    1.20
     nice
    1.19
     satisfying
    1.14
     rewarding
    1.14
     versatile
    1.11
     cool
    1.10
     cute
    1.09
     exciting
    1.08
     refreshing
    1.07
     helpful
    1.07
    Activations Density 0.163%

    No Known Activations