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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 18568
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    Explanations

    proper nouns related to people's names

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of specific names, particularly "Jacobs" and "Brun."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.95
    aceutical
    -0.85
    atively
    -0.73
    ivid
    -0.71
    ocally
    -0.69
    raq
    -0.67
    umin
    -0.67
    ograp
    -0.67
    ãĥī
    -0.66
     Warfare
    -0.66
    POSITIVE LOGITS
     Brun
    0.82
    ton
    0.76
    tones
    0.70
    hou
    0.69
    ernaut
    0.69
    son
    0.69
    aign
    0.68
     Jacobs
    0.68
    mand
    0.68
    ette
    0.68
    Activations Density 0.028%

    No Known Activations