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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. 7-RES-JB
    11. 14122
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    Explanations

    phrases related to funeral events

    oai_token-act-pair · gpt-3.5-turbo

    references to funerals and related events or concepts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    BuyableInstoreAndOnline
    -0.84
    Cola
    -0.78
    ĸļ
    -0.70
    unin
    -0.70
    umar
    -0.69
    amaru
    -0.67
    urat
    -0.67
    adj
    -0.67
    erity
    -0.66
    users
    -0.64
    POSITIVE LOGITS
     procession
    1.23
     rites
    0.99
     crem
    0.93
     shroud
    0.88
     funer
    0.85
     cort
    0.79
     py
    0.79
    atorium
    0.79
     funeral
    0.78
     altar
    0.77
    Activations Density 0.042%

    No Known Activations