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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. 0-RES-JB
    11. 15096
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    Explanations

    proper nouns, particularly names with the letter sequence "ke" like "Lake" and "Jake."

    oai_token-act-pair · gpt-3.5-turbo

    the word "ke" and its variations or contexts in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     electr
    -0.66
     INF
    -0.65
     mutual
    -0.64
     needless
    -0.62
     trench
    -0.61
     intens
    -0.60
     SW
    -0.60
     TRI
    -0.58
     outsourcing
    -0.58
    ĸļ
    -0.58
    POSITIVE LOGITS
    ke
    4.27
    kes
    2.55
    kel
    1.97
    KE
    1.86
    ken
    1.85
    ker
    1.66
    keleton
    1.59
    kens
    1.56
    kee
    1.53
    Ke
    1.49
    Activations Density 0.012%

    No Known Activations