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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. 0-RES-JB
    6. 19681
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    Explanations

    phrases related to product launches or releases

    oai_token-act-pair · gpt-3.5-turbo

    references to product launches

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    felt
    -0.76
    meyer
    -0.74
    Notes
    -0.72
    ergic
    -0.70
     ILCS
    -0.70
    oen
    -0.70
    SPONSORED
    -0.69
    washed
    -0.67
    respect
    -0.66
     stitches
    -0.66
    POSITIVE LOGITS
     launch
    3.68
     Launch
    2.64
     launches
    2.60
    launch
    2.51
     launching
    2.39
    Launch
    2.29
     launched
    1.93
    Laun
    1.88
     rollout
    1.82
    laun
    1.70
    Activations Density 0.016%

    No Known Activations