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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. 8-RES-JB
    6. 6715
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    Explanations

    details or elements that are being deliberately omitted or neglected in a narrative or discussion

    oai_token-act-pair · gpt-3.5-turbo

    critical omissions or neglected points in discussions

    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
    Rating
    -0.82
    gran
    -0.70
    interrupted
    -0.67
    brother
    -0.64
    spr
    -0.64
    cu
    -0.62
    nis
    -0.61
    fu
    -0.61
    imen
    -0.61
    oub
    -0.60
    POSITIVE LOGITS
     nuance
    0.80
     facts
    0.79
     nuances
    0.78
     mention
    0.75
     explicitly
    0.74
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.74
     Luxem
    0.73
     acknowledge
    0.73
     nuanced
    0.72
     reality
    0.70
    Activations Density 0.354%

    No Known Activations