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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. 6-RES-JB
    6. 1280
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    INDEX
    Explanations

    words related to high speed and velocity

    oai_token-act-pair · gpt-3.5-turbo

    references to speed and velocity measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gotten
    -0.88
    pty
    -0.72
    nam
    -0.69
    bor
    -0.68
    gently
    -0.66
     colle
    -0.66
    idas
    -0.66
    ãĤ©
    -0.66
    bie
    -0.66
    makers
    -0.65
    POSITIVE LOGITS
    mph
    0.96
     mph
    0.95
     speed
    0.85
     speeds
    0.84
     fastball
    0.83
     winds
    0.83
     gust
    0.78
     velocity
    0.74
     whipping
    0.72
     cruising
    0.72
    Activations Density 0.024%

    No Known Activations