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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. 9-RES-JB
    11. 16663
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    Explanations

    words related to 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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 9 - anger

    No Comments

    Negative Logits
    glas
    -0.87
    nown
    -0.83
    uchin
    -0.75
     livest
    -0.74
    akeru
    -0.74
    sites
    -0.69
    ATURE
    -0.68
    ãĥ¯
    -0.66
    overed
    -0.66
    ipeg
    -0.65
    POSITIVE LOGITS
     mobs
    0.95
    quit
    0.94
     outburst
    0.91
     indignation
    0.89
    storms
    0.83
     angry
    0.83
     against
    0.80
     fury
    0.80
     Birds
    0.78
     furious
    0.78
    Activations Density 0.103%

    No Known Activations