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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. 12-RES-JB
    11. 2465
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    Explanations

    source code patterns and configuration details

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    punctuation marks and colons in formatted text

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Chambers
    -0.69
     Sant
    -0.61
     afterward
    -0.59
     Pratt
    -0.59
     Bord
    -0.59
     outright
    -0.58
     among
    -0.58
     taped
    -0.58
    hett
    -0.57
    ,
    -0.57
    POSITIVE LOGITS
    hover
    1.25
    YES
    1.10
    true
    1.05
    latest
    1.01
    false
    0.98
    isSpecial
    0.94
    export
    0.93
    create
    0.93
    1000
    0.91
    yes
    0.90
    Activations Density 0.064%

    No Known Activations