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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. 7-RES-JB
    11. 9654
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    Explanations

    words related to written or spoken content, such as articles, speeches, trailers, and notes

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥ«
    -0.74
    ãĥĥãĥī
    -0.73
    atonin
    -0.72
    ãĥ©ãĥ³
    -0.70
    Sensor
    -0.69
    ukong
    -0.69
    ongevity
    -0.66
    isine
    -0.65
    omsday
    -0.65
    Neg
    -0.62
    POSITIVE LOGITS
    hips
    0.80
    earances
    0.72
    isode
    0.68
     Kenobi
    0.66
    ©¶æ
    0.65
     Hick
    0.62
     Mariners
    0.58
     Kodi
    0.57
    endment
    0.56
     featuring
    0.56
    Activations Density 0.489%

    No Known Activations