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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 19183
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    INDEX
    Explanations

    occupations or professions

    oai_token-act-pair · gpt-3.5-turbo

    professions and job titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ppings
    -0.63
     notions
    -0.60
    gotten
    -0.58
     Invasion
    -0.57
     judgments
    -0.57
     assumptions
    -0.55
    ulz
    -0.55
     Voters
    -0.55
    Winged
    -0.54
     inertia
    -0.54
    POSITIVE LOGITS
     extraord
    0.98
     specializing
    0.96
     alongside
    0.94
     overseeing
    0.91
    /#
    0.81
    ufact
    0.80
     apprentice
    0.80
     assistant
    0.76
     during
    0.73
    ess
    0.73
    Activations Density 0.193%

    No Known Activations