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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. 1-RES-JB
    11. 6736
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    Explanations

    phrases containing the word "Com" followed by a number and potentially more text afterwards

    oai_token-act-pair · gpt-3.5-turbo

    the term "Com" followed by numbers or related context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kubrick
    -0.89
    terday
    -0.68
     Kislyak
    -0.68
     Mara
    -0.67
     Wilde
    -0.65
     Highlander
    -0.65
     Icelandic
    -0.65
     Tav
    -0.63
     halfway
    -0.63
    512
    -0.63
    POSITIVE LOGITS
    ptroller
    1.27
    pletion
    1.16
    mented
    1.06
    intern
    1.04
    pleting
    1.02
    plement
    0.98
    fortable
    0.96
    anooga
    0.96
    plete
    0.96
    puted
    0.95
    Activations Density 0.006%

    No Known Activations