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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 17450
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    proper nouns related to different nationalities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to nationalities and regions

    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
    Not in Any Lists

    No Comments

    Negative Logits
     chambers
    -0.65
     Kinder
    -0.61
     Worcester
    -0.61
     ptr
    -0.60
     Pittsburgh
    -0.60
     Milwaukee
    -0.59
     Pett
    -0.59
     Louisville
    -0.59
     BART
    -0.58
     Chattanooga
    -0.58
    POSITIVE LOGITS
    ian
    2.63
    ians
    2.58
    IAN
    1.77
    iana
    1.66
    ienne
    1.55
    ia
    1.55
    ias
    1.53
    ien
    1.51
    ican
    1.41
    iens
    1.37
    Activations Density 0.159%

    No Known Activations