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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. 1-RES-JB
    6. 9721
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    Explanations

    names of people, specifically focusing on a particular surname

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "aren" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Labrador
    -0.70
     jerk
    -0.69
     extent
    -0.66
     srfAttach
    -0.64
    Fish
    -0.61
     degree
    -0.59
     measure
    -0.58
     Kinnikuman
    -0.58
     magnitude
    -0.58
     Accuracy
    -0.57
    POSITIVE LOGITS
    aren
    1.08
    wen
    0.91
    isma
    0.89
    furt
    0.88
    stant
    0.87
    awan
    0.84
    sten
    0.82
    zen
    0.81
    wyn
    0.81
    wana
    0.81
    Activations Density 0.008%

    No Known Activations