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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. 2351
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    Explanations

    details related to legal cases and criminal incidents, focusing on testimonies, court proceedings, and investigations

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

    instances of significant or impactful events

    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
     tremend
    -1.69
    aditional
    -1.68
     millenn
    -1.58
    ò
    -1.55
    ThumbnailImage
    -1.54
    oreAnd
    -1.51
     metic
    -1.50
     eleph
    -1.47
    ö
    -1.44
    ě
    -1.43
    POSITIVE LOGITS
    ↵
    0.75
    Ont
    0.65
    Canada
    0.61
    Canadian
    0.61
    CBC
    0.59
     Canada
    0.59
     Canadians
    0.56
    Ott
    0.56
    0.54
     NDP
    0.54
    Activations Density 0.122%

    No Known Activations