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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. 18315
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    Explanations

    words related to size or importance

    oai_token-act-pair · gpt-3.5-turbo

    references to prominent individuals or entities associated with power or influence

    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
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    Negative Logits
    TPPStreamerBot
    -0.94
    theless
    -0.92
    stellar
    -0.91
    thia
    -0.90
    cedes
    -0.82
    rss
    -0.80
    amera
    -0.78
    schild
    -0.78
    hemy
    -0.76
    efully
    -0.75
    POSITIVE LOGITS
     arena
    0.92
     boys
    0.89
     guys
    0.87
     brass
    0.83
     thing
    0.82
     ol
    0.81
    gest
    0.79
     guy
    0.79
     leagues
    0.77
     difference
    0.76
    Activations Density 0.061%

    No Known Activations