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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
    11. 19901
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    Explanations

    words related to training, qualifications, and specific training activities

    oai_token-act-pair · gpt-3.5-turbo

    references to training programs and qualifications related to law enforcement

    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
    ventory
    -0.67
    aceae
    -0.65
    ogene
    -0.65
    portation
    -0.64
    osi
    -0.64
    ogenous
    -0.62
     Meier
    -0.62
    eph
    -0.61
    romeda
    -0.60
     á
    -0.60
    POSITIVE LOGITS
     Peaks
    0.94
     seminars
    0.88
     instructors
    0.87
     sessions
    0.83
     Training
    0.78
     training
    0.77
    ees
    0.76
     courses
    0.76
     academy
    0.76
     manuals
    0.75
    Activations Density 0.023%

    No Known Activations