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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. 12098
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    Explanations

    phrases related to specific events, programs, and missions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to events and organizations

    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
    ĻĤ
    -0.83
    arching
    -0.82
    ounter
    -0.78
     toget
    -0.75
    comed
    -0.73
    iannopoulos
    -0.72
     cruelty
    -0.71
    rower
    -0.70
    itness
    -0.70
    itiz
    -0.68
    POSITIVE LOGITS
     Desk
    1.11
     Room
    1.08
     Builder
    1.08
     Pieces
    1.07
     Centers
    1.04
     Clause
    1.03
     Collection
    1.02
     Zone
    1.02
     Areas
    1.01
     Shooter
    1.00
    Activations Density 0.322%

    No Known Activations