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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. 3-RES-JB
    11. 20463
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    Explanations

    medical and healthcare-related terms, focusing on nursing education and syllabus references

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions and structures related to academia

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bug
    -0.73
     Panzer
    -0.66
     inaction
    -0.66
    BALL
    -0.64
     infl
    -0.64
     radios
    -0.64
    bugs
    -0.62
    addafi
    -0.60
    OWER
    -0.59
    Ø©
    -0.59
    POSITIVE LOGITS
    ĨĴ
    0.96
    ĸļ
    0.89
    etimes
    0.88
    elong
    0.84
    emouth
    0.83
    ences
    0.83
     refere
    0.83
    cend
    0.83
    cript
    0.83
    ally
    0.81
    Activations Density 0.016%

    No Known Activations