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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. 2-RES-JB
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    Explanations

    phrases related to urgency or emergency situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of urgency or speed-related actions, particularly the word "rushed" and its derivatives

    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
    elong
    -0.80
    amic
    -0.78
    ator
    -0.73
    bidden
    -0.72
    abet
    -0.72
    fell
    -0.71
    ortium
    -0.71
    ateur
    -0.69
    alty
    -0.69
    adal
    -0.68
    POSITIVE LOGITS
     rushed
    0.95
     rush
    0.75
     rushing
    0.75
    cade
    0.71
     blindly
    0.70
     hurried
    0.68
     onto
    0.68
     rushes
    0.66
     aloud
    0.65
     INTO
    0.65
    Activations Density 0.015%

    No Known Activations