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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 2831
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    Explanations

    phrases related to setting up or configuring something, such as systems, devices, or rules

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "setup"

    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
    thood
    -0.76
     Ago
    -0.75
     ILCS
    -0.73
    utra
    -0.72
    irth
    -0.69
    ilee
    -0.69
    son
    -0.68
    orie
    -0.68
    uel
    -0.67
    angible
    -0.67
    POSITIVE LOGITS
     setups
    1.03
     setup
    1.02
     Setup
    0.86
    setup
    0.85
    eers
    0.84
    eering
    0.80
     routines
    0.73
     configurations
    0.71
     arrang
    0.67
     routine
    0.67
    Activations Density 0.008%

    No Known Activations