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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. 4-RES-JB
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    Explanations

    proper nouns related to the name "Edward" followed by a number (commonly "Edward 9" or "Edward 10")

    oai_token-act-pair · gpt-3.5-turbo

    the name "Edward" and its variations in the text

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

    No Comments

    Negative Logits
    alore
    -0.68
    pora
    -0.66
    nda
    -0.66
    mobi
    -0.65
     sensit
    -0.64
    Äĩ
    -0.64
    à¤
    -0.63
    awaru
    -0.63
    unity
    -0.62
    BOOK
    -0.62
    POSITIVE LOGITS
     Snowden
    1.08
     Edward
    0.93
     Byrne
    0.87
     Cullen
    0.86
    sson
    0.85
     Everett
    0.83
     Norton
    0.81
     Oliver
    0.80
    dy
    0.77
    son
    0.76
    Activations Density 0.009%

    No Known Activations