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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. 14746
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    Explanations

    keywords related to different industries or sectors such as healthcare, insurance, music, transportation, energy, defense, food service, journalism, data, entertainment, radiation, property, education, housing, and others

    oai_token-act-pair · gpt-3.5-turbo

    terms related to healthcare and related sectors

    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
    atever
    -0.70
    irlf
    -0.68
     Nah
    -0.67
     Damn
    -0.66
    ortium
    -0.66
     Stab
    -0.66
    /.
    -0.65
    pell
    -0.63
    heses
    -0.62
    âĵĺ
    -0.62
    POSITIVE LOGITS
     professionals
    1.22
     historians
    1.14
     managers
    1.09
     experts
    1.03
     lovers
    1.03
     regulators
    1.03
     planners
    1.02
     administrators
    1.00
     insiders
    1.00
     psychologists
    0.98
    Activations Density 0.405%

    No Known Activations