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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. 9-RES-JB
    6. 9625
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    Explanations

    names related to legal investigations, especially the name "Mueller"

    oai_token-act-pair · gpt-3.5-turbo

    references to Robert Mueller and his investigative role

    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
     Pyr
    -0.83
    lihood
    -0.70
     Barbarian
    -0.69
    points
    -0.69
     Zoro
    -0.69
     Fiji
    -0.68
     Hawaiian
    -0.67
    draw
    -0.66
     Columb
    -0.65
    piring
    -0.64
    POSITIVE LOGITS
     Mueller
    0.99
     Probe
    0.95
     probe
    0.91
     indict
    0.90
     investigation
    0.88
     investigations
    0.84
     probes
    0.84
     probing
    0.83
    angelo
    0.83
     investigating
    0.82
    Activations Density 0.023%

    No Known Activations