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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. 9-RES-JB
    6. 12308
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    Explanations

    references to the United States military and government

    oai_token-act-pair · gpt-3.5-turbo

    references to the United States and its military

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¦ãĤ¹
    -0.93
    ãĤ½
    -0.81
    phies
    -0.79
    ãĤ¡
    -0.78
    bably
    -0.76
    ãĥ¼ãĥ«
    -0.74
     Emin
    -0.73
    sbm
    -0.72
    ĵĺ
    -0.71
    ãĤ¨ãĥ«
    -0.70
    POSITIVE LOGITS
     Department
    1.10
     Geological
    1.07
     government
    1.05
     Embassy
    1.05
     Postal
    1.05
     Government
    1.01
     embassy
    0.96
     Bureau
    0.93
     National
    0.92
     judiciary
    0.92
    Activations Density 0.197%

    No Known Activations