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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. 2470
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    Explanations

    instances where the word "about" is mentioned in the text

    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
    ©¶æ¥µ
    -0.84
    croft
    -0.72
    SUP
    -0.70
    mouth
    -0.68
    stead
    -0.68
    quet
    -0.68
    WF
    -0.67
    oof
    -0.67
    IER
    -0.66
    VIDEO
    -0.65
    POSITIVE LOGITS
     how
    1.14
     whether
    1.04
     why
    0.99
     quitting
    0.91
     hypot
    0.89
     what
    0.88
     buying
    0.87
     nostalg
    0.87
     acquiring
    0.86
     ways
    0.86
    Activations Density 0.075%

    No Known Activations