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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. 5853
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    Explanations

    names of individuals or entities related to law enforcement or government

    oai_token-act-pair · gpt-3.5-turbo

    the word "and" used multiple times in the context of a discussion or narrative

    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
     fixtures
    -0.59
     deduct
    -0.58
     SERVICE
    -0.58
     heck
    -0.58
     dism
    -0.56
     quot
    -0.56
     mosaic
    -0.55
     useless
    -0.55
     illust
    -0.54
     entitle
    -0.54
    POSITIVE LOGITS
    orf
    1.20
    oÄŁan
    1.17
    ez
    1.16
    ividual
    1.12
    rome
    1.12
    erella
    1.09
    ogan
    1.08
    ouble
    1.05
    icate
    1.02
    elle
    1.02
    Activations Density 0.043%

    No Known Activations