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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 3469
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    Explanations

    mentions of political figures or positions, particularly focusing on the word "minister."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of government officials or ministers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hots
    -0.68
     Oxy
    -0.63
     Pit
    -0.62
     Trace
    -0.59
    {"
    -0.58
     POS
    -0.58
    eca
    -0.58
    android
    -0.58
    âľ
    -0.57
    âĸ
    -0.57
    POSITIVE LOGITS
     minister
    3.76
     Minister
    2.75
     ministers
    2.54
     ministry
    2.44
     Ministers
    2.09
     ministries
    2.02
     ministerial
    1.86
     Ministry
    1.78
     secretary
    1.62
     pastor
    1.53
    Activations Density 0.012%

    No Known Activations