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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. 6-RES-JB
    11. 16905
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    INDEX
    Explanations

    mentions of professions or titles, specifically related to education, politics, health, business, military, and psychic fields

    oai_token-act-pair · gpt-3.5-turbo

    terms related to occupations and professions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assies
    -0.81
    ravings
    -0.75
     Kingdoms
    -0.71
    zees
    -0.71
     sockets
    -0.70
     Parties
    -0.69
     iPads
    -0.69
    Tokens
    -0.67
     Eggs
    -0.66
     Tanks
    -0.66
    POSITIVE LOGITS
     planner
    0.88
     practition
    0.78
     assistant
    0.78
     enthusiast
    0.77
     spokesperson
    0.76
     classmate
    0.74
     spokeswoman
    0.73
     fellow
    0.73
     adjunct
    0.73
     representative
    0.73
    Activations Density 0.295%

    No Known Activations