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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. 10-RES-JB
    11. 11344
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    Explanations

    words related to fulfilling obligations and commitments

    oai_token-act-pair · gpt-3.5-turbo

    references to commitments and responsibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cloth
    -0.78
    apsed
    -0.72
     Leilan
    -0.66
    hin
    -0.65
    laugh
    -0.64
    leans
    -0.63
    culus
    -0.63
    antine
    -0.63
    bourg
    -0.63
    ochet
    -0.61
    POSITIVE LOGITS
     obligations
    1.42
     requirements
    1.29
     goals
    1.28
     commitments
    1.27
     objectives
    1.27
     promises
    1.24
     mandates
    1.23
     mandate
    1.19
     deadlines
    1.17
     expectations
    1.15
    Activations Density 0.221%

    No Known Activations