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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. 11-RES-JB
    6. 19759
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    INDEX
    Explanations

    words related to significant impact or importance

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "role" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Eyes
    -0.61
    affles
    -0.59
     Junk
    -0.59
    hound
    -0.58
    ocaust
    -0.57
    trap
    -0.57
    apest
    -0.55
     Flesh
    -0.55
    urses
    -0.55
    Results
    -0.54
    POSITIVE LOGITS
    playing
    0.95
     in
    0.95
     therein
    0.94
     role
    0.87
     facilitating
    0.81
     roles
    0.80
    role
    0.79
     overseeing
    0.78
     helping
    0.75
     influencing
    0.75
    Activations Density 0.061%

    No Known Activations