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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. 10-RES-JB
    6. 22699
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    Explanations

    time-related phrases and events

    oai_token-act-pair · gpt-3.5-turbo

    temporal phrases related to events prior to an incident

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erenn
    -0.83
    anges
    -0.74
    umeric
    -0.74
    ä¸Ĭ
    -0.70
    gae
    -0.67
    ¥
    -0.67
    ographies
    -0.65
    ı
    -0.65
    gem
    -0.64
    à©
    -0.63
    POSITIVE LOGITS
     arra
    0.98
     arrest
    0.89
     Friday
    0.86
     Tuesday
    0.86
     Wednesday
    0.85
     incident
    0.85
     filming
    0.85
     Thursday
    0.83
     arrests
    0.82
     Monday
    0.81
    Activations Density 0.231%

    No Known Activations