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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. 10-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -0.99
    htaking
    -0.69
     ([
    -0.61
     (%
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     tyr
    -0.59
     glim
    -0.59
     [/
    -0.57
     ('
    -0.56
     membr
    -0.55
    ocument
    -0.53
    POSITIVE LOGITS
    ),"
    1.76
    )!
    1.69
    )—
    1.59
    ),
    1.58
    )."
    1.53
    )),
    1.48
    )--
    1.47
    )
    1.47
    )?
    1.46
    )-
    1.45
    Activations Density 0.092%

    No Known Activations