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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. 1680
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    Explanations

    phrases related to business strategies and models

    oai_token-act-pair · gpt-3.5-turbo

    punctuations and structured lists within the text

    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
    azeera
    -0.73
    amaz
    -0.72
    izens
    -0.71
    ãĤĵ
    -0.71
    swick
    -0.69
    ãĥīãĥ©
    -0.69
    姫
    -0.69
    ãĥ¤
    -0.68
    ãģł
    -0.67
    tale
    -0.65
    POSITIVE LOGITS
     whereby
    1.75
     wherein
    1.53
     namely
    1.32
     allowing
    1.30
     consisting
    1.18
     ensuring
    1.18
     meaning
    1.16
     ie
    1.16
     eliminating
    1.15
     avoiding
    1.15
    Activations Density 0.440%

    No Known Activations