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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. 5-RES-JB
    6. 7864
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    INDEX
    Explanations

    information related to specific events or locations mentioned in news articles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of humanitarian issues and crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     folks
    -0.74
     Boone
    -0.72
     Whitman
    -0.72
     Sloan
    -0.71
    Ohio
    -0.70
     Lamar
    -0.70
     Rollins
    -0.69
    Indiana
    -0.68
     BYU
    -0.68
     Offense
    -0.68
    POSITIVE LOGITS
     organisers
    1.02
     organised
    0.92
     analyse
    0.91
     favour
    0.91
     apologise
    0.90
     Fifa
    0.90
     favourable
    0.90
     practise
    0.89
     authorised
    0.89
     recognise
    0.88
    Activations Density 2.211%

    No Known Activations