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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. 0-RES-JB
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    Explanations

    terms related to intense emotions, especially anger or frustration

    oai_token-act-pair · gpt-3.5-turbo

    instances and expressions of rage and anger

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 0 - anger

    No Comments

    Negative Logits
    ect
    -0.74
     Logged
    -0.68
    Equ
    -0.67
     endowed
    -0.64
     discl
    -0.63
     introduced
    -0.63
    ewater
    -0.62
     ©
    -0.62
     KY
    -0.61
     incorporation
    -0.61
    POSITIVE LOGITS
     rage
    4.12
     fury
    2.32
     Rage
    2.14
     anger
    1.92
     raged
    1.72
     raging
    1.70
     rampage
    1.51
    rage
    1.51
     wrath
    1.51
     Anger
    1.50
    Activations Density 0.012%

    No Known Activations