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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. 9-RES-JB
    11. 7394
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    Explanations

    references to government entities, particularly the State Department

    oai_token-act-pair · gpt-3.5-turbo

    references to the State Department

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    NetMessage
    -0.75
    jad
    -0.74
    à¸
    -0.72
    amaz
    -0.71
    juries
    -0.70
    FUL
    -0.69
    ãĤ©
    -0.69
    é»Ĵ
    -0.69
    itans
    -0.66
    ãĤ°
    -0.66
    POSITIVE LOGITS
     inspector
    0.95
     bureaucracy
    0.90
     Office
    0.89
     Inspector
    0.88
     secretary
    0.86
    artment
    0.86
     Correspond
    0.85
     Agency
    0.85
     Accountability
    0.84
     Employees
    0.84
    Activations Density 0.093%

    No Known Activations