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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. 9685
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    Explanations

    values or amounts of money mentioned in the text

    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
    TION
    -0.69
    hent
    -0.68
    ippi
    -0.65
    checked
    -0.63
    aign
    -0.62
    advertisement
    -0.62
    hop
    -0.61
    furt
    -0.61
    eering
    -0.60
    ħĭ
    -0.60
    POSITIVE LOGITS
     settle
    1.05
    pless
    1.03
     compensate
    1.02
     commemorate
    1.01
     conserve
    0.99
     accommodate
    0.96
     expel
    0.94
     satisfy
    0.93
     acquire
    0.93
     achieve
    0.93
    Activations Density 0.101%

    No Known Activations