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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. 6-RES-JB
    6. 13875
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    INDEX
    Explanations

    names of public institutions like libraries, schools, and public services

    oai_token-act-pair · gpt-3.5-turbo

    references to public institutions or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kson
    -0.88
    oldemort
    -0.80
    ansas
    -0.79
    orsi
    -0.74
    oused
    -0.74
    xual
    -0.73
    daq
    -0.72
    auga
    -0.70
    ikawa
    -0.69
    uana
    -0.69
    POSITIVE LOGITS
     Accountability
    0.86
     Affairs
    0.83
     Opinion
    0.82
     Policy
    0.81
     Ethics
    0.81
     Library
    0.78
     Interest
    0.78
     Service
    0.76
    policy
    0.75
    etary
    0.74
    Activations Density 0.019%

    No Known Activations