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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. 4-RES-JB
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    Explanations

    events or actions that involve a sense of urgency or emergency

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "rushed" and variations indicating a sense of urgency or haste

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

    No Comments

    Negative Logits
    iasis
    -0.82
    elong
    -0.79
    choes
    -0.79
    amic
    -0.77
    ortium
    -0.76
    etheless
    -0.74
    adal
    -0.72
    ator
    -0.70
    _-
    -0.70
    ancial
    -0.69
    POSITIVE LOGITS
     rushed
    0.75
     onto
    0.71
    weed
    0.70
    OSED
    0.70
     forward
    0.69
     rushing
    0.68
     ashore
    0.68
    OSE
    0.67
    cade
    0.66
     Knox
    0.64
    Activations Density 0.014%

    No Known Activations