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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. 9-RES-JB
    11. 13138
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to votes, points, or rankings in competitive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    conom
    -0.83
    soType
    -0.70
    utm
    -0.66
     geopolitical
    -0.62
    tnc
    -0.61
    SpaceEngineers
    -0.61
     culturally
    -0.59
     cultural
    -0.58
     globalization
    -0.56
     Romantic
    -0.56
    POSITIVE LOGITS
     seven
    1.24
     eleven
    1.24
     thirteen
    1.21
     eight
    1.20
    six
    1.19
     nine
    1.19
     four
    1.18
     twelve
    1.18
     fourteen
    1.18
    four
    1.18
    Activations Density 0.830%

    No Known Activations