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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
    11. 3400
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    Explanations

    keywords related to software tools and technologies

    oai_token-act-pair · gpt-3.5-turbo

    references to tools and toolkits

    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
     Sons
    -0.94
     sons
    -0.66
     Winds
    -0.64
     Reincarn
    -0.63
     Qiao
    -0.62
     twins
    -0.60
     Goddess
    -0.60
     Transcript
    -0.60
     Bom
    -0.60
    ospons
    -0.60
    POSITIVE LOGITS
    kit
    1.66
    tips
    1.56
    tip
    1.31
    chain
    1.14
    belt
    1.13
    box
    1.10
    sonian
    1.08
    set
    1.07
    chains
    1.04
    boxes
    1.03
    Activations Density 0.042%

    No Known Activations