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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. 5755
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    Explanations

    phrases indicating a quantity of people or items

    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
    ablishment
    -0.78
     visitor
    -0.62
    ovember
    -0.59
    uden
    -0.59
     rematch
    -0.59
    afia
    -0.57
    ogly
    -0.56
    pad
    -0.56
     goose
    -0.56
    KK
    -0.55
    POSITIVE LOGITS
     whom
    1.37
     which
    1.26
    which
    1.08
     whose
    0.91
    Which
    0.89
     Which
    0.88
    whose
    0.87
     them
    0.85
     whence
    0.76
     theirs
    0.68
    Activations Density 0.093%

    No Known Activations