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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. 10-RES-JB
    6. 9336
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    INDEX
    Explanations

    locations or venues where events took place

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "for."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulty
    -0.72
    oppable
    -0.72
    ovable
    -0.71
    aghan
    -0.69
     entit
    -0.69
     persisted
    -0.67
    mare
    -0.67
    ouse
    -0.65
    ationally
    -0.64
    iblical
    -0.64
    POSITIVE LOGITS
     consultations
    1.15
     lunch
    1.07
     dinner
    1.05
     breakfast
    1.00
     repairs
    0.95
     meetings
    0.94
     briefings
    0.93
     supper
    0.91
     questioning
    0.91
     interviews
    0.90
    Activations Density 0.104%

    No Known Activations