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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. 3-RES-JB
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    Explanations

    mentions of the word "Washington."

    oai_token-act-pair · gpt-3.5-turbo

    references to "Waikato" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rious
    -0.79
    xual
    -0.77
    sis
    -0.75
    erous
    -0.73
    lycer
    -0.69
    displayText
    -0.69
     CPC
    -0.68
    tics
    -0.68
    sticks
    -0.67
    urated
    -0.66
    POSITIVE LOGITS
    velength
    1.33
    Wa
    0.97
    apon
    0.96
    ivers
    0.94
    heed
    0.93
    iver
    0.92
     Wa
    0.88
    ignt
    0.86
    aii
    0.85
    pless
    0.84
    Activations Density 0.008%

    No Known Activations