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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. 9-RES-JB
    11. 20866
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    Explanations

    proper nouns, specifically names of people

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Jen" and its variations in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    beit
    -0.70
    Interstitial
    -0.69
    Reloaded
    -0.67
    izoph
    -0.67
    ricular
    -0.65
    llah
    -0.64
    tl
    -0.63
    zzi
    -0.61
    assium
    -0.60
    ornia
    -0.60
    POSITIVE LOGITS
    sey
    1.03
    esis
    0.96
    ocide
    0.95
    seys
    0.92
    hao
    0.87
    ova
    0.86
    kins
    0.85
     Jenkins
    0.84
    creen
    0.82
    iary
    0.82
    Activations Density 0.057%

    No Known Activations