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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. 23824
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    INDEX
    Explanations

    mentions of historical figures or events

    oai_token-act-pair · gpt-3.5-turbo

    names of historical figures and government officials

    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
     neuroscience
    -0.93
     emoji
    -0.83
     cybersecurity
    -0.82
     robotic
    -0.82
     wellness
    -0.81
     takeaway
    -0.80
    andowski
    -0.80
    zbollah
    -0.80
     hijab
    -0.79
     moms
    -0.76
    POSITIVE LOGITS
     1861
    1.17
     1862
    1.16
     1840
    1.10
     colonists
    1.10
     Napoleon
    1.08
     1904
    1.08
     1909
    1.06
     1830
    1.06
     1914
    1.06
     1870
    1.05
    Activations Density 1.433%

    No Known Activations