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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. 5042
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    Explanations

    comparative expressions containing the word "too"

    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
    igi
    -0.81
    è¦ļéĨĴ
    -0.72
    craft
    -0.69
    monary
    -0.67
    ngth
    -0.65
    otte
    -0.64
    Rus
    -0.62
    ibel
    -0.61
    workshop
    -0.61
    yip
    -0.59
    POSITIVE LOGITS
     much
    1.01
     distracting
    0.81
     terribly
    0.78
     darn
    0.78
     keen
    0.77
     flashy
    0.77
     bothered
    0.76
     busy
    0.76
     bad
    0.75
     far
    0.75
    Activations Density 0.021%

    No Known Activations