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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 18338
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to funding, projects, and positive outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.71
    isSpecialOrderable
    -0.70
     apologised
    -0.68
     apologise
    -0.67
    DragonMagazine
    -0.66
    aditional
    -0.65
    oeuv
    -0.65
    ActionCode
    -0.64
    ö
    -0.62
    ă
    -0.62
    POSITIVE LOGITS
     pic
    0.58
     âĢķ
    0.57
     spots
    0.56
     center
    0.55
     organization
    0.52
     spot
    0.52
    .[
    0.51
     ent
    0.51
     ones
    0.51
     program
    0.51
    Activations Density 1.484%

    No Known Activations