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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. 1573
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    INDEX
    Explanations

    mentions of the word "packaging" or related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to packaging and its related concepts

    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
    shire
    -0.98
    inite
    -0.76
    iscopal
    -0.75
    nesota
    -0.74
    otos
    -0.72
    sson
    -0.71
    sen
    -0.71
    cffffcc
    -0.68
     Metatron
    -0.68
    frey
    -0.66
    POSITIVE LOGITS
     packaging
    1.07
    eers
    0.80
     wrap
    0.79
     containers
    0.75
     wrapping
    0.74
     coat
    0.73
     wra
    0.72
     crates
    0.71
     packaged
    0.70
     packets
    0.70
    Activations Density 0.014%

    No Known Activations