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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. 5-RES-JB
    6. 3446
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    oai_token-act-pair · gpt-3.5-turbo

    overall ratings or assessments of experiences or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ffe
    -0.72
     grandchildren
    -0.69
     newsletters
    -0.65
     lil
    -0.65
     toile
    -0.64
    href
    -0.64
     attendant
    -0.63
    aciously
    -0.63
    lé
    -0.62
    adr
    -0.62
    POSITIVE LOGITS
     Thoughts
    0.85
     Length
    0.77
     Ratio
    0.73
    apse
    0.72
    Overall
    0.71
     Summary
    0.70
     rating
    0.70
    hesis
    0.69
     Rating
    0.69
     Overall
    0.68
    Activations Density 0.032%

    No Known Activations