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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 10-RES-JB
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    Explanations

    adjectives describing negative feelings or situations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ousands
    -0.76
    Thousands
    -0.75
    successfully
    -0.70
    illions
    -0.68
    ewitness
    -0.67
    inders
    -0.67
    xit
    -0.67
    ="#
    -0.65
    æĺ¯
    -0.62
     sufficient
    -0.59
    POSITIVE LOGITS
     lately
    1.04
     haha
    0.98
     compared
    0.90
     tho
    0.89
     depending
    0.89
     huh
    0.88
     nowadays
    0.87
     eh
    0.85
     considering
    0.79
     initially
    0.79
    Activations Density 0.276%

    No Known Activations