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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. 6-RES-JB
    11. 7316
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seym
    -0.80
    erenn
    -0.76
    cffff
    -0.72
     Vaugh
    -0.69
    oppable
    -0.65
    enegger
    -0.62
    uyomi
    -0.62
     Jagu
    -0.62
    jri
    -0.60
    oufl
    -0.60
    POSITIVE LOGITS
     nutshell
    0.62
    ims
    0.59
     Squirrel
    0.58
    odes
    0.52
     english
    0.52
     Finder
    0.52
     thumbnail
    0.51
    pires
    0.50
     Scot
    0.49
    CLOSE
    0.49
    Activations Density 0.278%

    No Known Activations