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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12609
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    Explanations

    mentions of the city "Seattle" and related terms like sports teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Seattle and its sports teams

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ocr
    -0.73
    cause
    -0.70
    ombs
    -0.70
    ktop
    -0.69
    arial
    -0.68
     vit
    -0.67
    unct
    -0.67
    eline
    -0.66
    rium
    -0.66
    ����
    -0.65
    POSITIVE LOGITS
     Sounders
    1.47
     Seahawks
    1.27
     Mariners
    1.25
     Tacoma
    1.00
    ites
    0.98
    Seattle
    0.97
     Reign
    0.95
     Seah
    0.88
     Seattle
    0.87
     Airlines
    0.83
    Activations Density 0.019%

    No Known Activations