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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. 9-RES-JB
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    Explanations

    mentions of educational expenses, specifically focusing on tuition fees

    oai_token-act-pair · gpt-3.5-turbo

    topics related to tuition and education fees

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rand
    -0.92
    daq
    -0.82
    inion
    -0.81
    layer
    -0.81
     horizont
    -0.72
     Assass
    -0.72
    orpor
    -0.72
    rank
    -0.71
    romy
    -0.71
    lim
    -0.68
    POSITIVE LOGITS
    uates
    0.90
    uating
    0.86
    ptions
    0.85
     Lak
    0.85
    uations
    0.79
    uated
    0.77
    essee
    0.75
    eret
    0.72
    sites
    0.71
    olkien
    0.70
    Activations Density 0.108%

    No Known Activations