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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. 6-RES-JB
    11. 13503
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    Explanations

    words related to official obligations or directives

    oai_token-act-pair · gpt-3.5-turbo

    references to legislative mandates or requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istics
    -0.88
    stocks
    -0.82
    vae
    -0.76
    ãģį
    -0.72
    hop
    -0.71
    adder
    -0.70
    thel
    -0.69
    enth
    -0.69
    nie
    -0.68
    Ñĭ
    -0.67
    POSITIVE LOGITS
     mandate
    0.87
     mandated
    0.80
     imposed
    0.79
     mandates
    0.79
     requiring
    0.75
     compel
    0.75
     requirement
    0.72
     creep
    0.72
     mand
    0.72
    eers
    0.70
    Activations Density 0.016%

    No Known Activations