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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12488
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    Explanations

    mention of countries or locations

    oai_token-act-pair · gpt-3.5-turbo

    names of countries or geographical entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    é¾įå¥ij士
    -0.24
    Merit
    -0.23
    èĢ
    -0.22
    ;;;;;;;;;;;;
    -0.21
    iHUD
    -0.21
    Footnote
    -0.21
     Huss
    -0.21
    tower
    -0.21
     NK
    -0.20
     Trotsky
    -0.20
    POSITIVE LOGITS
    epad
    0.22
    =-=-
    0.20
     Pastebin
    0.19
    ascar
    0.19
     caveat
    0.19
    ecast
    0.19
    sheets
    0.19
     clearer
    0.18
    TPPStreamerBot
    0.18
    iator
    0.18
    Activations Density 10.346%

    No Known Activations