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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. 4-RES-JB
    11. 19647
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    INDEX
    Explanations

    mention of foundational elements or beginnings

    oai_token-act-pair · gpt-3.5-turbo

    references to foundational concepts or principles

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

    No Comments

    Negative Logits
    pmwiki
    -0.83
    ett
    -0.70
     Zan
    -0.68
    uling
    -0.67
    cible
    -0.66
    dos
    -0.63
    unknown
    -0.63
    inen
    -0.63
     Rabbit
    -0.63
    quit
    -0.63
    POSITIVE LOGITS
     foundation
    1.24
     foundations
    1.07
     groundwork
    0.85
     Beir
    0.79
     cornerstone
    0.78
     pillars
    0.77
     principles
    0.76
     footing
    0.73
     underpin
    0.72
     premise
    0.72
    Activations Density 0.015%

    No Known Activations