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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. 2477
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    Explanations

    references to national security and international relations

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

    references to geopolitical activities and military concerns

    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
    Ě
    -1.77
    ÷
    -1.77
    ă
    -1.77
     RandomRedditor
    -1.77
    ü
    -1.77
    č
    -1.77
    embedreportprint
    -1.77
    Ă
    -1.77
    ù
    -1.76
    ý
    -1.76
    POSITIVE LOGITS
     go
    0.62
     rest
    0.61
     hold
    0.61
     big
    0.61
     be
    0.60
     outside
    0.59
     head
    0.58
     other
    0.58
     Also
    0.58
     second
    0.58
    Activations Density 1.678%

    No Known Activations