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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. 2440
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    Explanations

    the name "Zach" with varying activation strengths

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

    mentions of the name "Zach" or variations of the name "Zack"

    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
    inates
    -0.76
    displayText
    -0.72
     indo
    -0.70
    rad
    -0.69
    =-=-
    -0.67
    edIn
    -0.65
    ebus
    -0.65
    76561
    -0.65
    trap
    -0.64
    gencies
    -0.62
    POSITIVE LOGITS
     Pompe
    0.72
     Newspaper
    0.68
    ©¶æ
    0.62
     Woodward
    0.60
     Voy
    0.58
    ©¶æ¥µ
    0.58
    axy
    0.58
    ivia
    0.57
     Century
    0.57
     Division
    0.56
    Activations Density 0.201%

    No Known Activations