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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. 11-RES-JB
    11. 168
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    INDEX
    Explanations

    mentions of specific events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "was"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pages
    -0.88
     laure
    -0.78
     Opportun
    -0.76
     Promise
    -0.74
    fol
    -0.74
    ispers
    -0.71
    Pages
    -0.71
     Nicotine
    -0.69
     Preferences
    -0.68
     Offer
    -0.67
    POSITIVE LOGITS
     towed
    1.41
     parked
    1.28
     equipped
    1.26
     operated
    1.17
     dispatched
    1.15
     transporting
    1.15
     refuel
    1.14
     fitted
    1.12
     flown
    1.12
     stationed
    1.12
    Activations Density 0.128%

    No Known Activations