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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. 2-RES-JB
    11. 14630
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    Explanations

    Japanese names, particularly first names ending with 'iko'

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roads
    -0.71
     marrow
    -0.70
     partnerships
    -0.69
     mistaken
    -0.69
    drawn
    -0.67
    supp
    -0.63
    Interstitial
    -0.63
    staking
    -0.63
    paren
    -0.63
     reconciliation
    -0.62
    POSITIVE LOGITS
    iko
    1.01
    ichi
    1.00
    omi
    0.94
    ji
    0.87
    itsu
    0.87
    zzi
    0.84
    udo
    0.83
     Polo
    0.81
    obi
    0.81
    ota
    0.80
    Activations Density 0.010%

    No Known Activations