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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. 11-RES-JB
    11. 239
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    Explanations

    locations and places

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating geographical locations or movements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    UTF
    -0.76
    ALSE
    -0.74
    Irish
    -0.72
     certs
    -0.72
    resa
    -0.71
    UGH
    -0.71
    Native
    -0.69
    ESA
    -0.68
    NESS
    -0.66
     NETWORK
    -0.66
    POSITIVE LOGITS
     Kuala
    1.41
     Bangkok
    1.24
     Beijing
    1.21
     Istanbul
    1.20
     Pyongyang
    1.19
     Kabul
    1.18
     Tir
    1.17
     Jakarta
    1.17
     Tehran
    1.17
     Seoul
    1.15
    Activations Density 0.172%

    No Known Activations