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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. 12-RES-JB
    11. 2379
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    INDEX
    Explanations

    references to Olympic athletes and events

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    mentions of the Olympic Games and related entities or figures

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     penetrating
    -0.69
     regist
    -0.68
     serving
    -0.66
     receiving
    -0.63
     coupled
    -0.62
     registry
    -0.61
     fitting
    -0.59
     costing
    -0.59
     convey
    -0.58
     telling
    -0.58
    POSITIVE LOGITS
    alos
    1.16
    alis
    1.14
    ieu
    1.13
    ipp
    1.10
    aeus
    1.05
    ippy
    1.05
    alian
    1.04
    auga
    1.03
    iatus
    1.02
    iak
    1.02
    Activations Density 0.082%

    No Known Activations