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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    emotion-related words expressing anger or frustration in Tagalog

    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 @ 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
    ety
    -0.82
     TTL
    -0.73
     Cookies
    -0.71
     Spice
    -0.70
     Pyramid
    -0.70
    ERE
    -0.68
     Vendor
    -0.68
    Marsh
    -0.67
     Marsh
    -0.66
    querade
    -0.66
    POSITIVE LOGITS
     ang
    3.92
    Ang
    1.27
     agg
    1.18
     sadd
    1.12
     Ang
    1.11
     fisherman
    1.09
     grou
    1.05
     trout
    1.04
     fishermen
    1.03
     kay
    1.01
    Activations Density 0.018%

    No Known Activations