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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. 15893
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    Explanations

    phrases related to negative behaviors and consequences, such as drug abuse and failure

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to social and political issues

    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
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.81
    etheless
    -0.67
    EMBER
    -0.64
    EMP
    -0.62
     )]
    -0.62
    enter
    -0.61
    zik
    -0.61
    ]]
    -0.61
    Recommend
    -0.60
     largeDownload
    -0.60
    POSITIVE LOGITS
     notwithstanding
    0.85
     etc
    0.80
     everywhere
    0.74
    !),
    0.72
     gal
    0.71
     abound
    0.70
    !,
    0.68
     or
    0.67
     buzzing
    0.65
     mattered
    0.65
    Activations Density 1.238%

    No Known Activations