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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 4620
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    INDEX
    Explanations

    words related to books, stories, seasons, campaigns, history, and events

    oai_token-act-pair · gpt-3.5-turbo

    references to books and historical narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hint
    -0.66
     interfering
    -0.65
     nudity
    -0.65
     diffuse
    -0.63
     conve
    -0.61
     Utilities
    -0.60
     privately
    -0.60
     inaccessible
    -0.60
     hashing
    -0.59
     wa
    -0.58
    POSITIVE LOGITS
     accol
    0.84
    ably
    0.82
    eve
    0.80
    marks
    0.79
    Mission
    0.77
    icent
    0.77
     medals
    0.75
    ends
    0.74
    Winner
    0.73
     milestones
    0.73
    Activations Density 0.416%

    No Known Activations