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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
    11. 20170
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    Explanations

    locations or institutions related to a specific place named "Penn"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Penn" related to various contexts in the document

    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
    eer
    -0.76
    âĢķ
    -0.66
    LESS
    -0.65
    ++++++++++++++++
    -0.65
     Malays
    -0.62
    lly
    -0.61
    ========
    -0.61
    PRES
    -0.61
    ged
    -0.61
     Lumpur
    -0.60
    POSITIVE LOGITS
    sylv
    1.43
    sylvania
    1.22
     Penn
    1.06
    insula
    1.01
    Penn
    1.01
    olini
    0.90
    iless
    0.88
    erton
    0.87
    sburg
    0.87
    omet
    0.83
    Activations Density 0.003%

    No Known Activations