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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. 11-RES-JB
    6. 10505
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    Twitter links with high activity levels (towards the end of the link)

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 't'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĪĴ
    -0.88
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.74
    ©¶æ
    -0.69
     exha
    -0.68
    ĻĤ
    -0.64
     Hitman
    -0.62
    ²¾
    -0.61
     neighb
    -0.60
    Ĥİ
    -0.60
     Arri
    -0.59
    POSITIVE LOGITS
    ribune
    1.03
    rell
    0.92
    ruly
    0.89
    ibia
    0.89
    oxic
    0.88
    itans
    0.88
    ricks
    0.88
    ravis
    0.87
    akedown
    0.86
    ebin
    0.86
    Activations Density 0.013%

    No Known Activations