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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. 10-RES-JB
    6. 20823
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    Explanations

    phrases related to speed or efficiency

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating timeframes or durations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Initialized
    -0.70
    emy
    -0.63
    ffen
    -0.63
    itive
    -0.62
    idon
    -0.62
    ãĥī
    -0.61
     superiority
    -0.61
    awan
    -0.60
    amen
    -0.59
    Bottom
    -0.58
    POSITIVE LOGITS
     seconds
    1.32
     minutes
    1.26
     milliseconds
    1.23
    seconds
    1.18
     weeks
    1.11
     hours
    1.07
     Seconds
    1.07
     few
    1.05
     days
    1.05
     blink
    1.03
    Activations Density 0.144%

    No Known Activations