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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. 10-RES-JB
    6. 9117
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    Explanations

    mentions of legal actions involving specific numbers and people or organizations

    oai_token-act-pair · gpt-3.5-turbo

    instances of legal punishment or sentencing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Chuck
    -0.80
    adelphia
    -0.77
     Fallon
    -0.76
    Utah
    -0.74
     Whitman
    -0.73
    Jeff
    -0.72
     Jefferson
    -0.71
    Kyle
    -0.70
    Madison
    -0.69
    Ted
    -0.69
    POSITIVE LOGITS
     Azerbai
    1.16
    ÄŁ
    1.15
     NGO
    1.04
    ÅŁ
    1.02
     Azerbaijan
    1.01
     Bulgarian
    1.01
     Rohingya
    1.00
     Armenian
    1.00
     Ä
    0.98
     Armenia
    0.98
    Activations Density 2.029%

    No Known Activations