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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    references to the Supreme Court, especially when the Court is the subject of discussion or ruling

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Supreme Court

    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
    76561
    -0.77
     pus
    -0.76
    lishes
    -0.74
    OPLE
    -0.70
    ijk
    -0.66
    thening
    -0.65
    udes
    -0.65
     stub
    -0.65
    dest
    -0.63
    utic
    -0.62
    POSITIVE LOGITS
     Court
    1.48
    Court
    1.15
     Judicial
    1.12
     Ct
    1.08
     Tribunal
    1.07
     Courts
    0.99
     justices
    0.97
     court
    0.94
    court
    0.93
     COURT
    0.91
    Activations Density 0.025%

    No Known Activations