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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. 925
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    Explanations

    people and entities mentioned in a text, such as names, organizations, and dates

    oai_token-act-pair · gpt-3.5-turbo

    prominent names and entities, particularly related to significant events or political figures

    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
     NASL
    -0.66
     hemisphere
    -0.66
     Nato
    -0.61
     Hercules
    -0.61
     Isis
    -0.60
     Wellington
    -0.59
     honoured
    -0.59
     tomat
    -0.59
     US
    -0.57
     Nasa
    -0.56
    POSITIVE LOGITS
    âĢ
    2.25
     âĢ
    1.66
    ãĢ
    1.66
    »
    1.62
    âĸł
    1.59
    «
    1.56
    âĹı
    1.56
    **
    1.54
    âĢł
    1.53
    âĺ
    1.50
    Activations Density 1.778%

    No Known Activations