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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
    11. 12154
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    Explanations

    references to universities

    oai_token-act-pair · gpt-3.5-turbo

    references to a university setting

    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
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    Negative Logits
    othy
    -0.83
    ppings
    -0.79
    adow
    -0.73
    Pg
    -0.72
    Jere
    -0.71
    trap
    -0.67
    aws
    -0.65
    ãģĹ
    -0.64
    TRY
    -0.63
    zbollah
    -0.63
    POSITIVE LOGITS
     campuses
    1.07
     tuition
    1.03
     lecturer
    1.03
    uates
    1.01
     campus
    0.90
     professors
    0.89
     graduate
    0.85
     Libraries
    0.85
     university
    0.84
    ĨĴ
    0.84
    Activations Density 0.026%

    No Known Activations