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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. 3-RES-JB
    11. 22590
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    Explanations

    mentions of premium products or services

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "premium" related to products or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ±
    -0.73
    OPA
    -0.71
    ADRA
    -0.70
    \/\/
    -0.69
     Refuge
    -0.66
    arms
    -0.65
    MN
    -0.65
    ãĥ«
    -0.64
    say
    -0.64
     Dresden
    -0.63
    POSITIVE LOGITS
     premium
    1.15
     fare
    0.88
    Premium
    0.88
     tremend
    0.86
     premiums
    0.85
    cedes
    0.83
     veter
    0.81
     income
    0.80
    iership
    0.77
    illac
    0.77
    Activations Density 0.010%

    No Known Activations