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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. 1-RES-JB
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ession
    -0.65
     Occupations
    -0.65
     SER
    -0.65
    aphael
    -0.64
    ptive
    -0.63
    cular
    -0.63
    activated
    -0.62
    ked
    -0.61
    eds
    -0.60
    INTER
    -0.60
    POSITIVE LOGITS
     Wald
    1.14
    stad
    1.06
    stadt
    1.03
    roth
    0.96
    orf
    0.96
    ©¶æ¥µ
    0.90
    nesday
    0.88
    heim
    0.87
    iHUD
    0.84
    owship
    0.84
    Activations Density 0.004%

    No Known Activations