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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 18069
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    Explanations

    keywords related to eligibility and qualification criteria

    oai_token-act-pair · gpt-3.5-turbo

    the word "eligible" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pread
    -0.70
     Alps
    -0.67
    hunt
    -0.65
    ijk
    -0.65
    aura
    -0.64
     Principles
    -0.64
    OVA
    -0.64
     Coat
    -0.63
    q
    -0.62
    OTOS
    -0.61
    POSITIVE LOGITS
     eligible
    0.96
    untarily
    0.95
    igible
    0.88
    uates
    0.87
    iaries
    0.86
    eligible
    0.85
     claimants
    0.81
     qualify
    0.80
     borrowers
    0.80
     applicants
    0.79
    Activations Density 0.012%

    No Known Activations