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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. 10-RES-JB
    6. 23126
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    INDEX
    Explanations

    names of individuals and their associated context

    oai_token-act-pair · gpt-3.5-turbo

    references to Donald Trump and phrases indicating discussion or commentary

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sov
    -1.01
    ottenham
    -0.91
    Lenin
    -0.90
    ourgeois
    -0.86
     dwarves
    -0.85
     bour
    -0.84
    aukee
    -0.83
     dwarf
    -0.83
    imbabwe
    -0.82
     Dwar
    -0.81
    POSITIVE LOGITS
     Kelly
    2.02
    Kelly
    1.89
     Scully
    1.18
     Eagles
    1.13
     Kelley
    1.12
     Chip
    1.08
     Keane
    1.06
     Lee
    1.03
     Fuller
    1.01
     McCoy
    1.00
    Activations Density 0.393%

    No Known Activations