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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. 7521
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    Explanations

    impersonal topics, such as news articles and reports, as well as communication mediums, such as emails and messages

    oai_token-act-pair · gpt-3.5-turbo

    references to online posts, emails, and discussions

    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
    tics
    -0.79
    ernels
    -0.76
     Dragonbound
    -0.69
    aces
    -0.68
     Cups
    -0.68
     sexes
    -0.65
    ampires
    -0.64
     breaths
    -0.63
     Steps
    -0.63
    paces
    -0.63
    POSITIVE LOGITS
     titled
    1.00
     entitled
    0.94
     wherein
    0.92
     involving
    0.87
     purportedly
    0.85
     called
    0.83
     whereby
    0.82
     depicting
    0.78
     that
    0.77
     aimed
    0.77
    Activations Density 0.435%

    No Known Activations