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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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    oai_token-act-pair · gpt-3.5-turbo

    terms associated with strict or severe policies and regulations

    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
     Tycoon
    -0.76
     Leilan
    -0.76
     Alive
    -0.73
    iverse
    -0.72
     Cork
    -0.70
     Gorge
    -0.69
     Glory
    -0.66
    acular
    -0.65
     Canterbury
    -0.65
     Constantin
    -0.65
    POSITIVE LOGITS
     punitive
    1.03
     restrictive
    1.03
     enforcement
    0.98
     sanctions
    0.95
     stringent
    0.95
     restrictions
    0.94
     restraints
    0.93
     penal
    0.92
     punishments
    0.89
     tariffs
    0.88
    Activations Density 0.055%

    No Known Activations