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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. 9011
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    Explanations

    references to Japanese names and locations

    oai_token-act-pair · gpt-3.5-turbo

    instances of names and locations related to Japan, particularly notable individuals and cities

    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
    theless
    -0.69
    guard
    -0.67
    Berry
    -0.67
    roads
    -0.65
    eding
    -0.65
    DOS
    -0.64
    CHAT
    -0.64
    getic
    -0.64
    balance
    -0.63
    Ħ¢
    -0.62
    POSITIVE LOGITS
    ikawa
    1.39
    imura
    1.18
    ihara
    1.18
     Fuk
    1.16
    azaki
    1.13
     Miy
    1.13
    amoto
    1.13
     Osaka
    1.12
     Fuj
    1.12
     Hiro
    1.11
    Activations Density 0.024%

    No Known Activations