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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. 9-RES-JB
    11. 14269
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    Explanations

    mentions of the pronoun "him" in various contexts related to decisions, actions, and potential outcomes involving individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly in contexts related to sports transactions or team dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •male

    No Comments

    Negative Logits
     Mothers
    -0.68
     kW
    -0.68
    semb
    -0.65
     Pastebin
    -0.64
     Kum
    -0.64
    SOURCE
    -0.64
     Squid
    -0.62
     Wendy
    -0.60
    ulner
    -0.58
     Soda
    -0.58
    POSITIVE LOGITS
     waivers
    1.09
     offensively
    0.95
     undrafted
    0.90
     indefinitely
    0.83
    signed
    0.82
    bane
    0.81
     waive
    0.81
     sidelined
    0.80
     cheaply
    0.80
     ASAP
    0.78
    Activations Density 0.258%

    No Known Activations