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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. 1-RES-JB
    11. 22630
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    INDEX
    Explanations

    mentions of manufacturers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of manufacturers and their products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tein
    -0.82
    jiang
    -0.75
     Warden
    -0.69
    resp
    -0.68
     Brow
    -0.66
    ctica
    -0.66
    mire
    -0.65
    bal
    -0.65
     Miko
    -0.64
    isson
    -0.63
    POSITIVE LOGITS
     manufacturers
    1.12
     manufacturer
    1.04
     manufactures
    1.01
     nomine
    0.99
    urers
    0.95
     endors
    0.85
     advertis
    0.80
     supplier
    0.79
     manufact
    0.79
     manufacturing
    0.79
    Activations Density 0.010%

    No Known Activations