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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. 1495
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    Explanations

    phrases related to completion or finishing a task or project

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "completed"

    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
    maid
    -0.71
    lua
    -0.70
    AMY
    -0.67
    hot
    -0.67
    dh
    -0.67
    LI
    -0.65
    olin
    -0.65
    kernel
    -0.63
    bour
    -0.62
    tem
    -0.62
    POSITIVE LOGITS
     Completed
    0.92
    teness
    0.91
     completion
    0.91
    TAIN
    0.86
     completed
    0.85
    issance
    0.81
    CLASSIFIED
    0.80
     feasibility
    0.74
     completes
    0.72
     captcha
    0.71
    Activations Density 0.016%

    No Known Activations