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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. 5927
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    Explanations

    names or terms starting with "Salena" or "Dru" with high activations

    oai_token-act-pair · gpt-3.5-turbo

    names and references to specific individuals or entities

    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
     Connie
    -0.78
     Independence
    -0.77
     FORM
    -0.76
     Greenwood
    -0.72
     independence
    -0.71
    154
    -0.70
     subsistence
    -0.69
     adolesc
    -0.69
     indist
    -0.69
     154
    -0.68
    POSITIVE LOGITS
    z
    1.66
    zos
    1.52
    Z
    1.46
    zan
    1.41
    zee
    1.38
    zu
    1.37
    zes
    1.35
    zon
    1.33
    zeb
    1.30
    zo
    1.30
    Activations Density 0.221%

    No Known Activations