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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the word 'Five'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Five" along with its various contexts

    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
    IAS
    -0.81
    notice
    -0.74
    iah
    -0.74
    displayText
    -0.73
    access
    -0.69
    unct
    -0.67
    utor
    -0.66
    UTC
    -0.66
    wage
    -0.64
    ller
    -0.64
    POSITIVE LOGITS
    Thirty
    1.32
    teen
    1.14
     Hundred
    1.03
     Thousand
    0.89
    eteen
    0.87
     ILCS
    0.86
     Five
    0.83
     Shades
    0.83
    Five
    0.80
    teenth
    0.79
    Activations Density 0.015%

    No Known Activations