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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. 9067
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names related to people involved in a specific context

    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
    âĶĢâĶĢ
    -0.86
     Butterfly
    -0.77
     Alberto
    -0.69
     pac
    -0.68
     brace
    -0.67
     Spani
    -0.64
     Sof
    -0.63
     Californ
    -0.62
     paraly
    -0.62
     meditation
    -0.62
    POSITIVE LOGITS
    shaw
    1.49
    kinson
    1.47
    son
    1.40
    den
    1.39
    croft
    1.36
    ley
    1.34
    gins
    1.33
    sworth
    1.31
    kens
    1.29
    cock
    1.26
    Activations Density 0.137%

    No Known Activations