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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. 4811
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    INDEX
    Explanations

    mentions of awards, rankings, or prizes with various levels of importance

    oai_token-act-pair · gpt-3.5-turbo

    references to awards or prizes

    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
    enegger
    -0.93
     layer
    -0.74
    ding
    -0.70
     LEVEL
    -0.66
     bracelet
    -0.64
    stead
    -0.61
     layers
    -0.60
    SUP
    -0.58
     dred
    -0.58
     Aqu
    -0.58
    POSITIVE LOGITS
    zes
    1.37
    etary
    1.26
    ests
    1.24
    zed
    1.12
    eties
    1.08
    vy
    1.07
    vet
    1.07
    zing
    1.04
    ze
    1.03
    ety
    1.03
    Activations Density 0.031%

    No Known Activations