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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
    11. 4427
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    Explanations

    descriptions related to software interface usability and performance

    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
    odiac
    -0.85
    itizen
    -0.82
     Horizons
    -0.80
     Recogn
    -0.78
    oenix
    -0.77
     remission
    -0.76
    cknow
    -0.76
     Liberation
    -0.75
     Mellon
    -0.74
     recognition
    -0.74
    POSITIVE LOGITS
     cumbersome
    1.60
     annoying
    1.54
     buggy
    1.53
     inefficient
    1.53
     tedious
    1.51
     unus
    1.50
     unreliable
    1.45
     irritating
    1.43
     wasteful
    1.42
     confusing
    1.40
    Activations Density 0.508%

    No Known Activations