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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. 17944
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    Explanations

    phrases or sentences where someone is speaking or reporting something

    oai_token-act-pair · gpt-3.5-turbo

    instances of reported speech or quotations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Pont
    -0.94
    2020
    -0.83
    pend
    -0.73
    larg
    -0.71
    2016
    -0.70
    SourceFile
    -0.69
    Recommend
    -0.69
    Pub
    -0.69
    stead
    -0.68
    align
    -0.66
    POSITIVE LOGITS
     goodbye
    0.99
     she
    0.93
     he
    0.90
     afterward
    0.89
     remorse
    0.86
     hello
    0.85
     afterwards
    0.83
     regrets
    0.83
     angrily
    0.81
     herself
    0.78
    Activations Density 0.263%

    No Known Activations