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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. 10-RES-JB
    11. 9298
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    Explanations

    phrases related to negative impacts or consequences

    oai_token-act-pair · gpt-3.5-turbo

    negative claims or statements about societal issues and their consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -1.28
    EStreamFrame
    -0.84
    é¾įå
    -0.80
    iHUD
    -0.77
    çīĪ
    -0.74
    displayText
    -0.74
    Acknowled
    -0.73
    intend
    -0.73
    BuyableInstoreAndOnline
    -0.72
     Pwr
    -0.72
    POSITIVE LOGITS
     jobs
    0.96
     humankind
    0.94
     economies
    0.92
     lives
    0.89
     productivity
    0.89
     humans
    0.87
     brains
    0.87
     cancer
    0.87
     wellbeing
    0.87
     health
    0.87
    Activations Density 0.303%

    No Known Activations