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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
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    INDEX
    Explanations

    mentions of the name or variations of the name "Hun" in the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Hun" and its variations

    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
    ply
    -0.74
     Bonds
    -0.73
    pport
    -0.72
     Mandela
    -0.71
     gloss
    -0.69
     Dome
    -0.68
     Reflect
    -0.68
     Leeds
    -0.68
    rame
    -0.68
     radiator
    -0.67
    POSITIVE LOGITS
     Hun
    3.02
    Hun
    2.77
    hun
    2.76
     Hunters
    1.56
     HUN
    1.41
    hunter
    1.21
     Gob
    1.14
     Hunting
    1.10
     Cra
    1.09
     hun
    1.08
    Activations Density 0.051%

    No Known Activations