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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. 6-RES-JB
    11. 15395
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    keywords related to driver's licenses and vehicle registration

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of licenses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Lans
    -0.90
     Oo
    -0.77
     Voy
    -0.73
    ilight
    -0.68
    bourne
    -0.67
    TING
    -0.65
    terson
    -0.65
     IMAGES
    -0.64
    icz
    -0.63
    noon
    -0.63
    POSITIVE LOGITS
     plate
    1.02
    License
    1.00
     plates
    0.97
     licenses
    0.96
     license
    0.92
    license
    0.90
     holder
    0.90
    plates
    0.86
     holders
    0.86
     revocation
    0.85
    Activations Density 0.015%

    No Known Activations