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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. 3-RES-JB
    6. 10039
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    Explanations

    technical terms related to programming or surveillance, such as specific acronyms or processes

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to programming and legislation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hunt
    -0.77
    ppo
    -0.73
    kers
    -0.73
    Reviewer
    -0.72
     Carnegie
    -0.71
    patrick
    -0.70
    wagen
    -0.68
    fleet
    -0.67
    ship
    -0.66
    chance
    -0.65
    POSITIVE LOGITS
    AIN
    0.92
     DOM
    0.91
    DOM
    0.83
    RA
    0.77
    ANA
    0.76
    OME
    0.76
    aine
    0.74
    ANT
    0.74
    raped
    0.73
    inant
    0.72
    Activations Density 0.010%

    No Known Activations