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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. 24369
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    Explanations

    language suggesting the potential to improve operations or processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating capability or potential

    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
     Fighter
    -0.68
    edient
    -0.65
     rehearsal
    -0.64
     striving
    -0.62
     Generation
    -0.62
     honoring
    -0.61
     revision
    -0.60
     guarding
    -0.60
     Moz
    -0.59
     Gadget
    -0.59
    POSITIVE LOGITS
    't
    1.48
    adian
    1.23
    berra
    1.18
    NOT
    1.03
    vas
    0.98
     attest
    0.94
    tera
    0.92
    isters
    0.90
    thus
    0.87
     afford
    0.84
    Activations Density 0.176%

    No Known Activations