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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. 12239
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    INDEX
    Explanations

    mentions of educational institutions and academic achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to educational experiences and institutions

    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
    ãĥ¤
    -0.71
    repeat
    -0.66
    API
    -0.64
    ãĥĩãĤ£
    -0.63
     SHALL
    -0.62
     Bundy
    -0.61
     sonic
    -0.61
     timestamp
    -0.59
    assert
    -0.59
     Spawn
    -0.58
    POSITIVE LOGITS
     tuition
    1.34
     abroad
    1.21
     graduation
    1.20
     scholarships
    1.16
     undergrad
    1.14
     courses
    1.13
     diploma
    1.11
     studying
    1.11
     prepar
    1.08
     curriculum
    1.07
    Activations Density 0.155%

    No Known Activations