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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
    11. 9072
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    Explanations

    words related to anger and outrage

    oai_token-act-pair · gpt-3.5-turbo

    expressions of anger or frustration

    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
    •layer 4 - anger

    No Comments

    Negative Logits
    utical
    -0.76
    fman
    -0.75
    arten
    -0.74
    ulhu
    -0.72
    soDeliveryDate
    -0.70
    itures
    -0.70
    NET
    -0.70
    irtual
    -0.69
    acion
    -0.69
    veyard
    -0.68
    POSITIVE LOGITS
     accusations
    0.78
     incess
    0.77
     inaction
    0.75
     hypocrisy
    0.75
     criticism
    0.75
     bigotry
    0.74
     coward
    0.74
     accusation
    0.73
     criticisms
    0.72
     injustice
    0.71
    Activations Density 0.287%

    No Known Activations