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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. 20669
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    Explanations

    proper nouns related to specific names of places or people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific locations or entities mentioned in the text

    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
    TeX
    -0.92
    matically
    -0.88
    ply
    -0.85
    bly
    -0.82
    addin
    -0.82
    enegger
    -0.77
    esome
    -0.77
    matic
    -0.76
    plement
    -0.76
    uler
    -0.75
    POSITIVE LOGITS
     Lowell
    1.00
     Meridian
    0.87
     Morton
    0.81
     Mead
    0.76
     Chamberlain
    0.75
     Farmer
    0.74
     Gardner
    0.71
     Watkins
    0.70
     Stephens
    0.70
     Lansing
    0.70
    Activations Density 0.025%

    No Known Activations