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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. 6-RES-JB
    11. 7566
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    Explanations

    references to crime activities and legal procedures

    oai_token-act-pair · gpt-3.5-turbo

    significant numerical data or statistics related to events or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ourselves
    -0.68
     Minion
    -0.65
     wherever
    -0.63
     himself
    -0.63
     everyday
    -0.61
     enjoyment
    -0.61
     answ
    -0.59
     someday
    -0.59
    iates
    -0.59
    ultimate
    -0.58
    POSITIVE LOGITS
    WASHINGTON
    0.79
    Officials
    0.78
    FILE
    0.77
    ccording
    0.77
    BRE
    0.76
    croft
    0.75
    SHARE
    0.74
    PORT
    0.72
    Gov
    0.71
    WARNING
    0.71
    Activations Density 0.394%

    No Known Activations