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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. 19830
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    Explanations

    phrases or sentences related to news reports

    oai_token-act-pair · gpt-3.5-turbo

    quoted statements or direct speech within the text

    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
    ghazi
    -0.94
    chwitz
    -0.80
    them
    -0.67
    None
    -0.65
     Yugoslavia
    -0.63
    insk
    -0.63
     Guant
    -0.62
     chiefly
    -0.62
    selage
    -0.62
    ipolar
    -0.62
    POSITIVE LOGITS
     downside
    0.68
     coupon
    0.68
    ospons
    0.65
     allev
    0.64
    osponsors
    0.63
     drawback
    0.62
     testim
    0.61
     saving
    0.60
     donating
    0.60
     lowering
    0.59
    Activations Density 1.472%

    No Known Activations