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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. 10-RES-JB
    11. 5072
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    INDEX
    Explanations

    phrases related to financial amounts or business activities

    oai_token-act-pair · gpt-3.5-turbo

    references to multi-faceted or multi-dimensional concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AVG
    -0.73
     preced
    -0.72
     Otto
    -0.68
     Lans
    -0.68
     Reed
    -0.67
     Richards
    -0.66
     Junk
    -0.64
     precedence
    -0.64
     Zar
    -0.64
     Friedrich
    -0.63
    POSITIVE LOGITS
    dimensional
    1.53
    disciplinary
    1.38
    purpose
    1.38
    ethnic
    1.36
    million
    1.32
    task
    1.29
    agency
    1.27
    billion
    1.26
    national
    1.25
    direction
    1.25
    Activations Density 0.026%

    No Known Activations