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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. 17450
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to consumer goods and their characteristics in various contexts

    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
    agame
    -0.72
    mma
    -0.68
    swer
    -0.66
    aminer
    -0.65
    ouf
    -0.64
    uzzle
    -0.64
    anse
    -0.63
    agonist
    -0.62
    rica
    -0.62
    keleton
    -0.61
    POSITIVE LOGITS
     versions
    0.95
     replacements
    0.86
     partnerships
    0.85
     equivalents
    0.83
     agreements
    0.81
     extensions
    0.80
     panels
    0.80
     scholarships
    0.80
     strategies
    0.80
     quantities
    0.79
    Activations Density 1.044%

    No Known Activations