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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. 2-RES-JB
    11. 13936
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    Explanations

    phrases related to motivation or instilling behaviors and attributes

    oai_token-act-pair · gpt-3.5-turbo

    words associated with instilling motivation or creating incentives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    çĦ
    -0.67
    fur
    -0.65
     surplus
    -0.62
    bas
    -0.60
     ç¥ŀ
    -0.60
     Leopard
    -0.59
     reckoning
    -0.58
     skulls
    -0.58
    onet
    -0.57
    bane
    -0.57
    POSITIVE LOGITS
    SPONSORED
    0.88
    GGGGGGGG
    0.81
    uate
    0.77
    atives
    0.76
    iment
    0.76
    aukee
    0.72
    ationally
    0.71
    Released
    0.71
    orically
    0.70
    uates
    0.70
    Activations Density 0.133%

    No Known Activations