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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. 10-RES-JB
    11. 6980
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    furt
    -0.72
     exception
    -0.68
    ptoms
    -0.66
    acci
    -0.66
    enei
    -0.66
    nesota
    -0.64
     exceptions
    -0.64
    cffffcc
    -0.63
     handshake
    -0.61
    leep
    -0.61
    POSITIVE LOGITS
     us
    1.16
     Us
    1.08
     me
    0.83
    Me
    0.75
     Spread
    0.74
    roud
    0.72
    Lex
    0.72
     TODAY
    0.71
     Me
    0.71
     responsibly
    0.68
    Activations Density 0.108%

    No Known Activations