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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. 11-RES-JB
    11. 499
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    Explanations

    actions or plans related to negotiations, campaigning, or decision-making involving different entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating negotiations, discussions, or actions related to agreements and partnerships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abiding
    -0.68
    bda
    -0.66
    uded
    -0.65
    ritical
    -0.64
    âĹ¼
    -0.63
    ¿½
    -0.62
    nu
    -0.61
    mist
    -0.60
    worthiness
    -0.60
    ubis
    -0.59
    POSITIVE LOGITS
     furiously
    0.88
     anew
    0.81
     frantically
    0.78
     cautiously
    0.75
     again
    0.72
     to
    0.71
     toward
    0.69
     another
    0.67
     contingency
    0.66
     aggressively
    0.65
    Activations Density 0.307%

    No Known Activations