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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. 17337
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    Explanations

    phrases related to educational and training processes

    oai_token-act-pair · gpt-3.5-turbo

    references to structured assessments and support systems in various contexts

    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
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    No Comments

    Negative Logits
    osponsors
    -0.67
    wick
    -0.65
    buquerque
    -0.63
    veland
    -0.59
     Views
    -0.57
    vae
    -0.56
     Scrib
    -0.56
    audi
    -0.55
    hester
    -0.55
     Horizons
    -0.55
    POSITIVE LOGITS
     consisting
    1.18
     culminating
    1.08
     overseen
    1.04
     wherein
    1.04
     whereby
    1.03
     designed
    0.99
     dictated
    0.95
     prescribed
    0.94
     tailored
    0.93
     akin
    0.91
    Activations Density 0.460%

    No Known Activations