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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. 3916
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    Explanations

    references to U.S. government agencies

    oai_token-act-pair · gpt-3.5-turbo

    references to the United States government and its agencies

    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
     waking
    -0.65
     ordering
    -0.63
     corresponding
    -0.63
     courtesy
    -0.62
     aside
    -0.62
     preferring
    -0.61
     wise
    -0.60
     derog
    -0.60
     moderation
    -0.59
     fue
    -0.58
    POSITIVE LOGITS
    Conn
    1.21
    Mass
    1.07
    psc
    1.03
    lyss
    1.03
    nexpected
    1.03
    PDATED
    1.02
    gly
    0.99
    VA
    0.97
    Chicago
    0.96
    MK
    0.94
    Activations Density 0.045%

    No Known Activations