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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. 20015
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    Explanations

    phrases relating to official speeches or announcements made by public figures

    oai_token-act-pair · gpt-3.5-turbo

    references to official statements or speeches made by political figures

    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
     Craigslist
    -0.92
     sued
    -0.81
     gore
    -0.78
     suing
    -0.78
     Gawker
    -0.77
    igslist
    -0.75
     lawsuits
    -0.73
     trolls
    -0.73
     Defendants
    -0.70
     thief
    -0.70
    POSITIVE LOGITS
    Speaking
    1.03
     flanked
    1.00
     emphas
    0.95
     reiterated
    0.91
     remarks
    0.91
     reiterate
    0.88
     stressing
    0.87
     undersc
    0.87
     reaff
    0.86
     Speaking
    0.86
    Activations Density 0.485%

    No Known Activations