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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. 6-RES-JB
    11. 20257
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    Explanations

    words related to intensity or extremeness

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms that suggest redundancy or repetitive themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Onion
    -0.71
     Pell
    -0.70
    checks
    -0.63
    blast
    -0.63
    steel
    -0.63
     Decker
    -0.62
     Advocate
    -0.62
     Shepherd
    -0.62
    aeus
    -0.62
     Dunham
    -0.61
    POSITIVE LOGITS
    ificant
    1.00
    pta
    0.88
    ruct
    0.88
    cific
    0.85
    itute
    0.82
    ciating
    0.79
    itutes
    0.79
    iaz
    0.78
    ettings
    0.75
    ateg
    0.74
    Activations Density 0.102%

    No Known Activations