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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. 21425
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    Explanations

    educational or instructional terms and phrases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to educational content and training sessions

    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
    cffff
    -0.78
    alty
    -0.67
    adjusted
    -0.66
    UTERS
    -0.64
    conn
    -0.64
     adultery
    -0.63
    axy
    -0.62
    \\\\
    -0.61
    Population
    -0.61
    女
    -0.61
    POSITIVE LOGITS
     taught
    1.45
     lectures
    1.29
     curriculum
    1.25
     seminars
    1.21
     courses
    1.18
     curric
    1.17
     teaches
    1.16
     teach
    1.09
     vit
    1.08
     instructors
    1.07
    Activations Density 0.162%

    No Known Activations