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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. 5765
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    Explanations

    information related to physical injuries and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to sports injuries and their impacts

    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
     Millenn
    -0.90
     millennial
    -0.85
     empires
    -0.84
    galitarian
    -0.82
     polygamy
    -0.81
     Capitalism
    -0.80
     castles
    -0.79
     Civ
    -0.78
     secession
    -0.77
    htaking
    -0.76
    POSITIVE LOGITS
     injured
    1.39
     rehab
    1.32
    jured
    1.27
     injury
    1.26
     stret
    1.25
     Injury
    1.22
    jury
    1.18
     surgery
    1.18
    Doctors
    1.17
    juries
    1.15
    Activations Density 0.542%

    No Known Activations