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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. 22717
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    INDEX
    Explanations

    comparative phrases indicating ranking or position, often related to performance or competition

    oai_token-act-pair · gpt-3.5-turbo

    rankings related to performance metrics

    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
     firsthand
    -0.71
    gery
    -0.69
     unfolding
    -0.65
     manifested
    -0.63
     manifests
    -0.62
    iott
    -0.61
     WhatsApp
    -0.61
     unfolds
    -0.59
     speeches
    -0.58
     spill
    -0.58
    POSITIVE LOGITS
     ninth
    1.02
     seventh
    0.99
     respectable
    0.98
     fifth
    0.96
     lowly
    0.96
    BuyableInstoreAndOnline
    0.95
     sixth
    0.95
    ranked
    0.94
    Tier
    0.92
    Top
    0.92
    Activations Density 0.400%

    No Known Activations