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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. 22867
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    Explanations

    numbers and percentages

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rarity and frequency statistics

    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
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    No Comments

    Negative Logits
    abal
    -0.64
    tein
    -0.63
    aque
    -0.61
     Luther
    -0.58
    yip
    -0.57
    ADS
    -0.56
     kneeling
    -0.55
     fronts
    -0.55
     Brach
    -0.54
    maxwell
    -0.54
    POSITIVE LOGITS
    Ö
    0.69
    ORPG
    0.68
    ãĤ£
    0.68
    ë
    0.67
    èĢ
    0.66
    Ö¼
    0.65
    isu
    0.62
    ãĤ
    0.62
    arenthood
    0.62
    esm
    0.62
    Activations Density 0.153%

    No Known Activations