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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
    11. 14088
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    Explanations

    proper nouns, specifically names related to individuals or businesses

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Saw" and associated terms

    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
     foss
    -0.80
    ité
    -0.78
    ctica
    -0.74
    uador
    -0.73
    istics
    -0.72
     unpre
    -0.69
     infectious
    -0.69
     guarded
    -0.69
    oses
    -0.68
     undis
    -0.67
    POSITIVE LOGITS
     Saw
    1.34
    arin
    0.88
    atari
    0.82
    amura
    0.80
    iewicz
    0.80
     Sight
    0.80
    Developer
    0.79
    atchewan
    0.79
     ASA
    0.78
    saw
    0.77
    Activations Density 0.008%

    No Known Activations