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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. 792
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    Explanations

    mentions of numerical quantities, particularly in the context of lists

    oai_token-act-pair · gpt-3.5-turbo

    references to numbers and their associations in various contexts

    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
    Background
    -0.68
     Hollow
    -0.61
    ateurs
    -0.59
     nutshell
    -0.58
     Shows
    -0.56
     Puzzles
    -0.56
    !]
    -0.56
     Ended
    -0.55
     Background
    -0.55
     Chapters
    -0.54
    POSITIVE LOGITS
    cause
    0.78
    isSpecialOrderable
    0.75
     precursor
    0.74
    actionDate
    0.72
    SPONSORED
    0.69
    zona
    0.66
    nown
    0.65
     euphem
    0.63
    Tx
    0.63
     birthplace
    0.62
    Activations Density 0.691%

    No Known Activations