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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. 1-RES-JB
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    Explanations

    mentions of educational institutions, specifically schools

    oai_token-act-pair · gpt-3.5-turbo

    references to schools and education systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    neum
    -0.67
    OPLE
    -0.65
     tame
    -0.63
     dispatch
    -0.61
    \\\\
    -0.60
     annexed
    -0.60
     scratch
    -0.60
    vernment
    -0.59
     dormant
    -0.58
     deadline
    -0.58
    POSITIVE LOGITS
    chool
    1.20
    masters
    0.94
    kids
    0.94
    chwitz
    0.92
     schools
    0.90
    children
    0.88
    cape
    0.86
     classrooms
    0.84
    master
    0.84
    esan
    0.83
    Activations Density 0.024%

    No Known Activations