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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. 10-RES-JB
    11. 4705
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    Explanations

    mentions of license plates

    oai_token-act-pair · gpt-3.5-turbo

    references to licenses and vehicle registrations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lans
    -0.86
    selves
    -0.75
    te
    -0.74
    TING
    -0.67
     IMAGES
    -0.66
    ordinary
    -0.64
    terson
    -0.64
     Heard
    -0.62
    ilon
    -0.62
    ilight
    -0.61
    POSITIVE LOGITS
     revocation
    1.04
     plate
    1.03
     licenses
    0.98
     renewal
    0.98
     plates
    0.98
    license
    0.93
     holder
    0.90
     holders
    0.90
    enses
    0.89
     revoked
    0.89
    Activations Density 0.023%

    No Known Activations