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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. 9597
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    Explanations

    words related to recycling

    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
    yip
    -0.91
     Lur
    -0.63
     bluff
    -0.63
    EStream
    -0.62
    EStreamFrame
    -0.62
     Carson
    -0.61
    street
    -0.60
     specificity
    -0.60
    Ô
    -0.59
     tert
    -0.59
    POSITIVE LOGITS
    ables
    0.92
    ense
    0.90
    ations
    0.86
    nces
    0.85
    inarily
    0.84
    rencies
    0.84
    aun
    0.82
    ous
    0.80
    ername
    0.79
    ences
    0.79
    Activations Density 0.108%

    No Known Activations