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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. 14567
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    Explanations

    words relevant to instructions or specifications, such as numbers, measurements, and specific details

    oai_token-act-pair · gpt-3.5-turbo

    symbols and notations commonly associated with lists, instructions, or recipes

    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
     Logged
    -0.64
     repository
    -0.60
     GitHub
    -0.58
     Citiz
    -0.57
     proced
    -0.56
    asma
    -0.55
     consumers
    -0.55
     Occupations
    -0.55
     Hearthstone
    -0.54
     policymakers
    -0.54
    POSITIVE LOGITS
    optional
    1.07
    tie
    0.90
    Optional
    0.87
     TBA
    0.84
    unknown
    0.80
    both
    0.78
    Includes
    0.75
    winner
    0.73
    none
    0.71
    =-=-
    0.71
    Activations Density 0.532%

    No Known Activations