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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. 2-RES-JB
    11. 6402
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     entirety
    -0.78
    riott
    -0.68
     Kens
    -0.66
     Drawn
    -0.65
     Cavaliers
    -0.64
     degrade
    -0.64
    xual
    -0.62
    enged
    -0.62
     Hercules
    -0.62
     marrow
    -0.61
    POSITIVE LOGITS
    ö
    1.33
    ä
    1.07
    ü
    1.04
    ·
    0.98
    ön
    0.96
    ¶
    0.96
    hler
    0.91
    Ķ
    0.90
    ĺ
    0.90
    å
    0.89
    Activations Density 0.006%

    No Known Activations