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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. 12-RES-JB
    11. 4258
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    Explanations

    driver's licenses

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to driver's licenses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    forth
    -0.66
     Canaver
    -0.63
     Woods
    -0.62
    quickShipAvailable
    -0.61
    aults
    -0.61
    sters
    -0.61
    shire
    -0.60
     Fields
    -0.60
     Trees
    -0.60
     Merry
    -0.60
    POSITIVE LOGITS
     license
    0.73
     licenses
    0.65
     permit
    0.63
     licensing
    0.63
     lear
    0.62
     licence
    0.60
    abus
    0.60
     education
    0.60
     educational
    0.59
    �
    0.58
    Activations Density 0.136%

    No Known Activations