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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. 4182
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    Explanations

    Japanese names or terms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific Japanese names or terms

    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
    mers
    -0.68
    legged
    -0.67
    matically
    -0.66
    dress
    -0.66
    staking
    -0.65
    pter
    -0.64
    drawn
    -0.64
    roads
    -0.63
    hillary
    -0.63
    bearing
    -0.63
    POSITIVE LOGITS
    ichi
    1.28
    omi
    1.04
    ya
    0.99
    aku
    0.94
    iba
    0.94
    oshi
    0.94
    oya
    0.93
    ibo
    0.88
    uchi
    0.87
    oka
    0.87
    Activations Density 0.009%

    No Known Activations