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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. 3-RES-JB
    11. 16043
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    Explanations

    words related to strong negative emotions, particularly anger

    oai_token-act-pair · gpt-3.5-turbo

    expressions of anger

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 3 - anger

    No Comments

    Negative Logits
    sites
    -0.96
    arent
    -0.83
    pmwiki
    -0.81
    glas
    -0.81
    artifacts
    -0.80
    orthy
    -0.80
    fman
    -0.79
    akeru
    -0.79
    issue
    -0.79
    uchin
    -0.78
    POSITIVE LOGITS
     angry
    0.93
     outburst
    0.84
     parting
    0.84
     indignation
    0.80
     mobs
    0.78
     shouts
    0.76
     prick
    0.72
     confrontation
    0.71
     displeasure
    0.70
     anger
    0.70
    Activations Density 0.017%

    No Known Activations