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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

    words related to strong negative emotions, particularly anger

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "anger" and its associations

    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
    •layer 2 - anger

    No Comments

    Negative Logits
    issue
    -0.79
    glas
    -0.74
    MER
    -0.74
    pmwiki
    -0.73
    icrobial
    -0.71
    arent
    -0.70
    sites
    -0.70
    apple
    -0.69
    ums
    -0.69
    akeru
    -0.67
    POSITIVE LOGITS
     anger
    0.95
     indignation
    0.90
    fulness
    0.86
    ingly
    0.77
     fury
    0.77
    ful
    0.77
     resentment
    0.76
    bender
    0.73
     jealousy
    0.72
     angry
    0.72
    Activations Density 0.014%

    No Known Activations