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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. 9-RES-JB
    11. 3789
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    Explanations

    the word "rely" and its variations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    corn
    -0.67
    antha
    -0.65
    lat
    -0.62
    apes
    -0.61
    vision
    -0.59
    cube
    -0.58
    sell
    -0.58
    ZI
    -0.57
    runs
    -0.55
     Spray
    -0.55
    POSITIVE LOGITS
     heavily
    1.11
     upon
    1.08
     solely
    0.99
    lessly
    0.95
    enza
    0.92
    enance
    0.88
     principally
    0.88
    ENCY
    0.86
    encies
    0.83
    ently
    0.81
    Activations Density 0.033%

    No Known Activations