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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. 1-RES-JB
    11. 482
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    Explanations

    phrases related to ethics, principles, financial transactions, and compliance

    oai_token-act-pair · gpt-3.5-turbo

    factors related to societal principles and issues affecting community dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ño
    -0.58
    ucket
    -0.49
    enegger
    -0.48
    eka
    -0.47
    uilt
    -0.46
    soDeliveryDate
    -0.45
    ageddon
    -0.44
    ÃŁ
    -0.44
    ague
    -0.44
    arij
    -0.44
    POSITIVE LOGITS
     chars
    0.50
    IRE
    0.48
     behavi
    0.48
     hous
    0.46
    natureconservancy
    0.45
     antioxid
    0.45
     tyr
    0.44
     advers
    0.43
     Neh
    0.41
     vulner
    0.41
    Activations Density 8.670%

    No Known Activations