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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. 10-RES-JB
    11. 7128
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    Explanations

    mentions of academic progression in college, such as freshmen, sophomores, and their respective years

    oai_token-act-pair · gpt-3.5-turbo

    terms related to high school and college sports classifications, specifically focusing on "sophomore" and "freshman"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rosis
    -0.83
    igree
    -0.73
    raltar
    -0.67
    finder
    -0.66
     Owners
    -0.64
    ichick
    -0.63
    iterranean
    -0.63
    inf
    -0.62
    gotten
    -0.61
    paio
    -0.61
    POSITIVE LOGITS
     freshman
    1.32
     freshmen
    1.32
     sophomore
    1.22
     semester
    1.18
     soph
    1.14
    uates
    1.13
    arsity
    1.11
     dorm
    1.11
     student
    1.11
     classmate
    1.10
    Activations Density 0.077%

    No Known Activations