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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
    11. 19694
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    Explanations

    instances of legal or judicial proceedings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of legal proceedings

    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
    ku
    -0.88
    oho
    -0.73
    olen
    -0.71
    resent
    -0.67
    ke
    -0.67
    armed
    -0.67
    oiler
    -0.65
    olls
    -0.65
    ACTED
    -0.63
    apped
    -0.63
    POSITIVE LOGITS
     proceedings
    1.18
    ĸļ
    0.89
    ional
    0.89
    eering
    0.87
     Tribunal
    0.84
    spection
    0.82
     Procedure
    0.77
     hearings
    0.77
     Hearing
    0.75
     Proceedings
    0.75
    Activations Density 0.013%

    No Known Activations