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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. 11941
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    INDEX
    Explanations

    words related to a kitchen or kitchen-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to kitchens and related home spaces

    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
    Reviewer
    -0.80
     Trooper
    -0.76
    utic
    -0.74
    ignty
    -0.72
    idas
    -0.72
    inates
    -0.72
    ullah
    -0.69
    ioxide
    -0.69
    vernment
    -0.68
    reon
    -0.67
    POSITIVE LOGITS
     appliances
    1.00
     appliance
    0.98
     cabinets
    0.93
     sink
    0.89
     remod
    0.88
    Aid
    0.87
    ette
    0.84
    ware
    0.82
    maid
    0.82
    washer
    0.82
    Activations Density 0.048%

    No Known Activations