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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. 18784
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    Explanations

    negative statements or situations

    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
    doms
    -0.58
    arts
    -0.57
     pursuits
    -0.57
     creations
    -0.56
    eps
    -0.54
    iaries
    -0.53
    ritch
    -0.53
     Supported
    -0.52
    tein
    -0.52
    atic
    -0.51
    POSITIVE LOGITS
     room
    0.97
     unanim
    0.94
    hin
    0.92
     ample
    0.90
    ibaba
    0.89
     enough
    0.89
     plenty
    0.86
    enough
    0.85
     alot
    0.79
    something
    0.77
    Activations Density 0.093%

    No Known Activations