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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. 17180
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    Explanations

    phrases related to journalistic reporting or coaching

    oai_token-act-pair · gpt-3.5-turbo

    activities related to journalism and education

    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
    omet
    -0.79
    imi
    -0.78
    hens
    -0.74
    agy
    -0.74
    izers
    -0.74
    ighed
    -0.73
    imer
    -0.72
    ewitness
    -0.71
    ridges
    -0.69
    ifiers
    -0.68
    POSITIVE LOGITS
     prowess
    0.99
     excellence
    0.97
     sessions
    0.90
     expenses
    0.88
     staff
    0.87
     style
    0.86
     gigs
    0.86
     spree
    0.84
     skills
    0.84
     expertise
    0.84
    Activations Density 0.206%

    No Known Activations