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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. 11-RES-JB
    11. 13082
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    INDEX
    Explanations

    mentions of professions and occupations

    oai_token-act-pair · gpt-3.5-turbo

    references to professionals and intellectuals involved in various fields

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eanor
    -0.75
    achu
    -0.72
    arez
    -0.70
    andise
    -0.69
    butt
    -0.68
    nesia
    -0.68
    iasm
    -0.68
    amaru
    -0.67
    hea
    -0.67
    mia
    -0.67
    POSITIVE LOGITS
     philosophers
    1.53
     psychologists
    1.53
     mathematic
    1.52
     thinkers
    1.51
     engineers
    1.48
     poets
    1.47
     photographers
    1.46
     designers
    1.46
     technicians
    1.45
     educators
    1.44
    Activations Density 0.245%

    No Known Activations