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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
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    Explanations

    information related to the city of Seattle

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Seattle in various contexts

    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
    unct
    -0.70
    ocr
    -0.70
    rium
    -0.70
    ombs
    -0.69
    onies
    -0.69
     vit
    -0.67
    eral
    -0.67
    ����
    -0.67
    userc
    -0.66
    Topic
    -0.66
    POSITIVE LOGITS
     Sounders
    1.30
     Mariners
    1.23
     Seahawks
    1.21
     Tacoma
    1.07
    Seattle
    1.03
    ites
    0.98
     Seattle
    0.98
     Chinatown
    0.88
     Rapids
    0.87
     Reign
    0.85
    Activations Density 0.011%

    No Known Activations