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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. 3333
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    Explanations

    historical events or formal structured texts

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    historical events and significant dates

    oai_token-act-pair · gpt-4o-miniTriggered 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
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    Negative Logits
    ï¸ı
    -0.85
    kids
    -0.82
     ALSO
    -0.70
    wcs
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     guys
    -0.68
     kids
    -0.68
    paced
    -0.66
     ALWAYS
    -0.66
     nonetheless
    -0.65
    RELATED
    -0.63
    POSITIVE LOGITS
     Constantinople
    1.42
     Carth
    1.12
     Nau
    1.10
     Prague
    1.10
     Vers
    1.09
     Waterloo
    1.09
     Jerusalem
    1.08
     Vienna
    1.08
     Greenwich
    1.08
     Rome
    1.07
    Activations Density 0.238%

    No Known Activations