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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 2413
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    Explanations

    the word "the."

    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
    Ò
    -0.95
     besides
    -0.85
    bg
    -0.74
    <?
    -0.74
    estamp
    -0.71
    ibl
    -0.71
     whatsoever
    -0.70
     è£ıè
    -0.68
    puff
    -0.68
    verage
    -0.68
    POSITIVE LOGITS
     result
    1.22
     centerpiece
    1.01
     slightest
    0.93
     inevitable
    0.91
     sole
    0.88
     latter
    0.88
     predominant
    0.86
     usual
    0.86
     tide
    0.86
     sun
    0.84
    Activations Density 0.111%

    No Known Activations