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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. 21375
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    Explanations

    numbers related to financial figures

    oai_token-act-pair · gpt-3.5-turbo

    financial statistics and metrics related to viewership and sales

    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
    agic
    -0.70
     redist
    -0.66
    uana
    -0.63
     srfAttach
    -0.61
     Galile
    -0.61
     impover
    -0.61
     administr
    -0.60
     Sever
    -0.59
    agna
    -0.58
     Allaah
    -0.58
    POSITIVE LOGITS
     million
    1.13
    million
    1.11
     Million
    1.04
     crore
    0.95
    MM
    0.93
    ickets
    0.93
    M
    0.92
    Mbps
    0.89
     MILL
    0.88
    K
    0.86
    Activations Density 0.068%

    No Known Activations