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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. 19540
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to news outlets and media organizations

    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
    figure
    -0.71
    taboola
    -0.67
    Lenin
    -0.65
    together
    -0.64
     tide
    -0.63
    chieve
    -0.63
    TABLE
    -0.61
     appar
    -0.60
    comes
    -0.60
     ILCS
    -0.60
    POSITIVE LOGITS
     that
    0.80
    resso
    0.72
     via
    0.70
     bluntly
    0.70
     interviewer
    0.68
    auer
    0.68
     beforehand
    0.67
     yesterday
    0.65
    otaur
    0.64
     afterward
    0.64
    Activations Density 0.088%

    No Known Activations