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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 814
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    INDEX
    Explanations

    references to news organizations and possibly crime-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific news outlets and events involving individuals or testimonies in reports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itance
    -0.84
    utor
    -0.82
     gener
    -0.75
    ometric
    -0.74
    utory
    -0.74
    table
    -0.71
    depend
    -0.70
    arial
    -0.69
    sed
    -0.68
    idas
    -0.68
    POSITIVE LOGITS
    CBS
    1.02
    radio
    1.01
     radio
    1.00
     Radio
    0.98
    Radio
    0.95
    ILLE
    0.90
    TV
    0.90
    Channel
    0.87
     Philly
    0.87
     Television
    0.86
    Activations Density 0.119%

    No Known Activations