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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. 8-RES-JB
    11. 7061
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    Explanations

    numerical values, measurements, and statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sters
    -0.73
    vae
    -0.66
    inki
    -0.64
    laus
    -0.64
    ndra
    -0.64
    zee
    -0.62
     bait
    -0.61
    sterdam
    -0.61
    rison
    -0.61
    anian
    -0.61
    POSITIVE LOGITS
     MPH
    0.89
    percent
    0.89
    degree
    0.87
    999
    0.85
    616
    0.85
    ãĤ¼ãĤ¦ãĤ¹
    0.85
    士
    0.84
     percentile
    0.83
    230
    0.81
    9999
    0.79
    Activations Density 0.172%

    No Known Activations