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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. 7-RES-JB
    11. 1462
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    Explanations

    references to legal institutions and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific courthouse or legal context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hol
    -0.65
     belt
    -0.64
     Shining
    -0.64
     withholding
    -0.62
     Hungarian
    -0.61
    OV
    -0.60
     rooting
    -0.59
     curfew
    -0.59
     donor
    -0.58
    urized
    -0.58
    POSITIVE LOGITS
    tyard
    1.53
    thouse
    1.31
    tesy
    1.15
    ser
    1.15
    sers
    1.12
    cour
    1.11
    ses
    1.06
    tes
    1.05
    rier
    1.04
    ten
    1.02
    Activations Density 0.034%

    No Known Activations