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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
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    Explanations

    mentions of educational institutions, specifically schools

    oai_token-act-pair · gpt-3.5-turbo

    references to schools and their funding issues

    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
    Not in Any Lists

    No Comments

    Negative Logits
    OPLE
    -0.70
     sheer
    -0.68
     scratch
    -0.68
     sudden
    -0.62
     tame
    -0.60
    00200000
    -0.60
    lihood
    -0.60
    neum
    -0.59
    vernment
    -0.59
     Declaration
    -0.59
    POSITIVE LOGITS
    chool
    1.25
    kids
    1.00
    heet
    0.97
    paces
    0.94
    cape
    0.94
    masters
    0.93
    chwitz
    0.90
    poons
    0.89
    hips
    0.88
    children
    0.88
    Activations Density 0.015%

    No Known Activations