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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. 8618
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    Explanations

    words related to academic research studies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of studies or research papers

    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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    Negative Logits
     volatile
    -0.63
     resonance
    -0.61
    rontal
    -0.61
    interstitial
    -0.60
    udeau
    -0.60
     deprecated
    -0.60
     blurred
    -0.60
     ILCS
    -0.60
    cream
    -0.59
     overloaded
    -0.58
    POSITIVE LOGITS
    study
    0.88
    udo
    0.81
    Study
    0.80
     statistic
    0.78
    iveness
    0.76
     methodology
    0.75
     study
    0.75
    ador
    0.72
     findings
    0.69
    ors
    0.69
    Activations Density 0.028%

    No Known Activations