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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. 1820
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    Explanations

    survey or poll results

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to polling and survey results

    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
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    No Comments

    Negative Logits
    ĨĴ
    -0.90
    utical
    -0.74
     Leilan
    -0.74
    GY
    -0.74
    ahime
    -0.73
    GBT
    -0.73
    CHAPTER
    -0.72
    itary
    -0.72
    ivas
    -0.70
    azy
    -0.69
    POSITIVE LOGITS
     polling
    0.99
     Gallup
    0.94
     Poll
    0.93
     polls
    0.91
     Nielsen
    0.90
     Rasmussen
    0.89
     skew
    0.85
     poll
    0.84
    poll
    0.84
     respondent
    0.80
    Activations Density 0.143%

    No Known Activations