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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. 2-RES-JB
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    Explanations

    terms related to education and school discipline

    oai_token-act-pair · gpt-3.5-turbo

    references to educational systems and academic performance issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fetched
    -0.71
     extrad
    -0.70
     smuggling
    -0.69
    lag
    -0.69
     smugglers
    -0.68
     surrog
    -0.64
     takeoff
    -0.64
    orne
    -0.63
    ulence
    -0.63
    prop
    -0.63
    POSITIVE LOGITS
    ploma
    1.10
    student
    1.08
     Faculty
    1.07
    Students
    1.05
     faculty
    1.05
    arsity
    1.05
     graduation
    1.03
    College
    1.03
     freshmen
    1.02
     undergraduate
    0.97
    Activations Density 0.394%

    No Known Activations