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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. 4-RES-JB
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    Explanations

    names of judges and court justices

    oai_token-act-pair · gpt-3.5-turbo

    mentions of judicial dissenters in legal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    obyl
    -0.90
     highs
    -0.89
     realise
    -0.78
    ongh
    -0.77
     lows
    -0.77
    icro
    -0.76
     Seah
    -0.75
     Bild
    -0.74
     worsh
    -0.70
     Nato
    -0.70
    POSITIVE LOGITS
    Justice
    1.17
    Attorney
    1.16
     justices
    1.12
     appellate
    1.06
     Scalia
    1.05
    Attach
    1.01
    Cour
    1.01
     attorneys
    1.00
    Judge
    0.99
    Court
    0.98
    Activations Density 0.534%

    No Known Activations