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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. 3-RES-JB
    11. 21147
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    Explanations

    mentions of legal or disciplinary actions and related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal issues and violations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.97
     scept
    -0.89
     realised
    -0.85
     foc
    -0.84
    olkien
    -0.83
     realise
    -0.82
     emphas
    -0.80
    kefeller
    -0.79
    irable
    -0.79
     flavour
    -0.78
    POSITIVE LOGITS
     ALS
    1.03
     NCAA
    1.01
     Baseball
    0.93
     trainer
    0.92
     Basketball
    0.92
     DUI
    0.91
     Athletic
    0.91
     athletic
    0.90
     coach
    0.89
     postseason
    0.89
    Activations Density 0.902%

    No Known Activations