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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. 4-RES-JB
    11. 19897
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    Explanations

    locations and events related to political figures and public appearances

    oai_token-act-pair · gpt-3.5-turbo

    instances of public speaking or addressing an audience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     liability
    -0.81
    etheless
    -0.79
     depended
    -0.78
    catentry
    -0.73
     underestimated
    -0.73
     Secondly
    -0.69
     depends
    -0.66
     compensate
    -0.66
    netflix
    -0.65
     relied
    -0.65
    POSITIVE LOGITS
     angrily
    0.86
    antry
    0.84
     chanting
    0.83
     greets
    0.82
    tyard
    0.81
     cheering
    0.79
     podium
    0.78
     laughter
    0.77
     applause
    0.77
     waving
    0.77
    Activations Density 0.970%

    No Known Activations