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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. 7-RES-JB
    11. 2647
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    Explanations

    mentions or references to manufacturers and their products

    oai_token-act-pair · gpt-3.5-turbo

    mentions of manufacturers and related terms in the context of products and patents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mire
    -0.86
     Warden
    -0.68
    zees
    -0.67
    lyn
    -0.65
    visor
    -0.64
    retion
    -0.63
     Guardian
    -0.63
    isson
    -0.62
    tein
    -0.62
    mins
    -0.61
    POSITIVE LOGITS
     manufactures
    0.86
    ãĤ´
    0.81
    ãĥł
    0.76
    urers
    0.75
    ãĤ®
    0.74
     warranties
    0.74
     manufacturers
    0.74
    ãĥīãĥ©
    0.71
     nomine
    0.69
     manufacturer
    0.68
    Activations Density 0.047%

    No Known Activations