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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. 11708
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    INDEX
    Explanations

    large quantities or magnitudes of items or people

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to numerical quantities and their significance

    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
     Darling
    -0.66
     Procedure
    -0.65
    rontal
    -0.63
    taker
    -0.62
     Finish
    -0.60
     Alone
    -0.59
     Bowen
    -0.58
    obe
    -0.58
    ptive
    -0.58
     relapse
    -0.58
    POSITIVE LOGITS
     thousands
    1.42
    ousands
    1.39
    undreds
    1.29
    illions
    1.28
     hundreds
    1.27
     millions
    1.24
     trillions
    1.19
     billions
    1.18
     thous
    1.16
     Thousands
    1.12
    Activations Density 0.106%

    No Known Activations