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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. 4-RES-JB
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    Explanations

    proper nouns related to individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

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

    No Comments

    Negative Logits
    xual
    -0.91
    prints
    -0.78
    geist
    -0.76
     snipp
    -0.72
     Meow
    -0.70
    backer
    -0.65
    print
    -0.65
     nomine
    -0.63
     crochet
    -0.61
     newsletters
    -0.61
    POSITIVE LOGITS
    kefeller
    1.21
    aji
    1.03
    emate
    0.95
    uli
    0.93
    ataka
    0.88
    ulus
    0.87
    isco
    0.87
    entric
    0.85
    ouri
    0.85
    adra
    0.84
    Activations Density 0.021%

    No Known Activations