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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. 4463
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    Explanations

    phrases related to quotes or dialogue

    oai_token-act-pair · gpt-3.5-turbo

    quotations and dialogue markers in the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
     encl
    -0.75
     popul
    -0.72
    scan
    -0.69
     reasoned
    -0.68
     neglect
    -0.66
     disinformation
    -0.66
     outsourcing
    -0.65
     Administrative
    -0.65
     bureaucrats
    -0.63
     upstream
    -0.63
    POSITIVE LOGITS
    BuyableInstoreAndOnline
    1.05
    Yeah
    0.95
    Everybody
    0.90
    Coach
    0.89
    Whoever
    0.89
    Players
    0.87
    We
    0.85
    ESPN
    0.84
    Yes
    0.84
    ivo
    0.83
    Activations Density 0.137%

    No Known Activations