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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. 9-RES-JB
    6. 340
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    Explanations

    words related to technology and equipment, particularly those with specific types or models

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases associated with medical or health-related classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rodrigo
    -0.72
     vel
    -0.68
     Wyn
    -0.67
     McKay
    -0.67
    DERR
    -0.66
     Zucker
    -0.65
     Wake
    -0.64
     Targ
    -0.63
     Tuls
    -0.63
     Ri
    -0.63
    POSITIVE LOGITS
    appropriate
    0.95
    conscious
    0.94
    specific
    0.92
    changing
    0.90
    Specific
    0.89
    wise
    0.86
    gallery
    0.86
    checking
    0.86
    relation
    0.85
    definition
    0.84
    Activations Density 0.126%

    No Known Activations