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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. 3-RES-JB
    11. 12497
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    Explanations

    mentions of academic disciplines, especially those related to science

    oai_token-act-pair · gpt-3.5-turbo

    references to academic disciplines and fields of study

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Islanders
    -0.72
    irus
    -0.67
     Subway
    -0.66
    pse
    -0.62
     deserted
    -0.61
     raid
    -0.60
    erous
    -0.59
    closure
    -0.57
     Pension
    -0.56
     Riders
    -0.56
    POSITIVE LOGITS
     disciplines
    1.06
     sciences
    0.85
     majors
    0.83
     faculties
    0.83
    chool
    0.81
    linger
    0.80
    esian
    0.80
    ertation
    0.79
    krit
    0.76
    ynthesis
    0.75
    Activations Density 0.024%

    No Known Activations