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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. 20682
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    Explanations

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names associated with legal and political contexts

    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
    stic
    -0.86
    bsite
    -0.75
     NCT
    -0.73
    stood
    -0.68
    asm
    -0.68
    pelled
    -0.67
    rave
    -0.67
    arist
    -0.66
    asma
    -0.65
    thia
    -0.65
    POSITIVE LOGITS
     Rosenstein
    1.12
    cffff
    0.86
    à¼
    0.77
     impeachment
    0.71
     wielded
    0.69
    interstitial
    0.69
    enei
    0.69
     lash
    0.68
    ftime
    0.67
    milo
    0.66
    Activations Density 0.008%

    No Known Activations