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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. 6452
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    oai_token-act-pair · gpt-3.5-turbo
    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
    enegger
    -0.76
     Peb
    -0.68
     scattering
    -0.68
     scatter
    -0.64
     Sic
    -0.64
     Tid
    -0.63
     princ
    -0.63
     nearest
    -0.61
     gad
    -0.61
     Ukrain
    -0.61
    POSITIVE LOGITS
    º
    1.47
    £
    1.31
    ¬
    1.30
    ¹
    1.29
    į
    1.25
    Į
    1.23
    Ń
    1.20
    §
    1.19
    ª
    1.18
    ı
    1.17
    Activations Density 0.370%

    No Known Activations