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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. 7-RES-JB
    11. 9715
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ++++++++
    -0.71
    âĶĢâĶĢâĶĢâĶĢ
    -0.69
    DERR
    -0.62
    ORED
    -0.61
     Guth
    -0.61
     Axel
    -0.60
     Barkley
    -0.59
     Metatron
    -0.58
    OUR
    -0.58
    ++++
    -0.57
    POSITIVE LOGITS
    ongyang
    0.94
    asant
    0.87
    acle
    0.83
    acles
    0.81
    ppel
    0.79
    enza
    0.78
    chio
    0.77
    umatic
    0.77
    formance
    0.76
    ciation
    0.76
    Activations Density 0.074%

    No Known Activations