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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. 1-RES-JB
    6. 9248
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    Explanations

    phrases containing specific names, likely referring to athletes, artists, and politicians

    oai_token-act-pair · gpt-3.5-turbo

    proper names, particularly those of athletes and cultural figures

    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
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    No Comments

    Negative Logits
    sels
    -0.77
    thur
    -0.74
    dinand
    -0.73
    coon
    -0.72
    culosis
    -0.71
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    -0.71
    ppo
    -0.71
    emouth
    -0.70
    uters
    -0.70
    ÃĥÃĤ
    -0.69
    POSITIVE LOGITS
    SHIP
    0.95
     Kend
    0.84
    slave
    0.75
    erer
    0.73
    liga
    0.69
     Zar
    0.68
    lace
    0.68
    irection
    0.66
    gaard
    0.66
    inav
    0.66
    Activations Density 0.028%

    No Known Activations