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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. 14033
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    INDEX
    Explanations

    explicit mentions of surprise in text

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a lack of surprise or inevitability

    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
     Logged
    -0.67
    tin
    -0.66
    sbm
    -0.63
    eri
    -0.60
    audi
    -0.59
    oller
    -0.58
    âĸ¬
    -0.57
    eur
    -0.57
     Website
    -0.57
    oyer
    -0.57
    POSITIVE LOGITS
    pired
    0.77
    actionDate
    0.75
    ints
    0.72
    pires
    0.71
     far
    0.70
     abundantly
    0.70
     unsur
    0.68
    quickShipAvailable
    0.67
     soon
    0.66
    inventoryQuantity
    0.65
    Activations Density 0.046%

    No Known Activations