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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. 4486
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    Explanations

    terms related to acknowledgments or recognition

    oai_token-act-pair · gpt-3.5-turbo

    terms related to acknowledgment and evaluation of experiences, particularly in a cultural or social context

    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
    warming
    -0.79
     Galile
    -0.65
    olitan
    -0.62
     Prince
    -0.61
     pity
    -0.61
     prick
    -0.60
     wastewater
    -0.59
    rawdownloadcloneembedreportprint
    -0.59
     Shining
    -0.58
     Rumble
    -0.58
    POSITIVE LOGITS
    ibl
    0.94
     mathemat
    0.86
    ividual
    0.84
    Champ
    0.81
    icial
    0.78
    sonian
    0.78
    nesota
    0.77
    icka
    0.77
    hm
    0.76
    vl
    0.76
    Activations Density 0.046%

    No Known Activations