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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. 3-RES-JB
    11. 2777
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    INDEX
    Explanations

    phrases indicative of significant importance or relevance

    oai_token-act-pair · gpt-3.5-turbo

    references to abstract concepts or ideas that are presented as noteworthy or significant

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DOS
    -0.73
    inders
    -0.69
    DOM
    -0.69
    sels
    -0.66
    rons
    -0.66
    ocytes
    -0.65
    de
    -0.64
    kos
    -0.64
    phones
    -0.64
    nor
    -0.63
    POSITIVE LOGITS
    Else
    1.38
     else
    1.23
     Else
    0.89
     resembling
    0.85
     intangible
    0.81
     worthwhile
    0.77
    ĪĴ
    0.77
     akin
    0.75
     transformative
    0.74
    else
    0.74
    Activations Density 0.037%

    No Known Activations