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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. 2356
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    INDEX
    Explanations

    numbers and percentages related to financial performance

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to sales performance and trends

    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
    bard
    -0.87
    displayText
    -0.79
    ritch
    -0.78
     horm
    -0.76
    afety
    -0.76
    obyl
    -0.75
    eno
    -0.74
    igil
    -0.71
    enda
    -0.68
     bureaucr
    -0.68
    POSITIVE LOGITS
     shipments
    1.25
     sales
    1.20
    Sales
    1.17
     downloads
    1.13
     Sales
    1.08
     penetration
    1.08
     tablet
    1.08
     smartphone
    1.08
     revenues
    1.07
     subscriptions
    1.06
    Activations Density 0.455%

    No Known Activations