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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. 11-RES-JB
    11. 3767
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    Explanations

    details about significant life events and experiences, including trials and executions

    oai_token-act-pair · gpt-3.5-turbo

    key events and specific historical contexts related to individual and societal struggles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     anymore
    -0.62
     veto
    -0.58
    lihood
    -0.58
     waivers
    -0.58
    etooth
    -0.57
    issors
    -0.57
     usual
    -0.57
    raviolet
    -0.57
    urances
    -0.56
     misdemeanor
    -0.56
    POSITIVE LOGITS
     firsthand
    0.97
     spanning
    0.95
     culminating
    0.92
     unfolds
    0.84
    history
    0.84
     dating
    0.79
     fascinating
    0.76
     sheds
    0.75
     reveals
    0.74
     chron
    0.73
    Activations Density 0.522%

    No Known Activations