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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. 18860
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    Explanations

    words related to social media platforms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific character or brand associated with the media or online culture

    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
    BuyableInstoreAndOnline
    -0.81
    ĺħ
    -0.78
    hua
    -0.71
    cki
    -0.69
     Sov
    -0.68
    carbon
    -0.67
    WARE
    -0.67
    GO
    -0.66
    going
    -0.65
    GW
    -0.65
    POSITIVE LOGITS
    ernaut
    1.08
    hetto
    1.01
    ibly
    0.98
    lish
    0.91
    ott
    0.90
    arette
    0.90
    arettes
    0.90
    abytes
    0.89
    hetti
    0.85
    iencies
    0.84
    Activations Density 0.021%

    No Known Activations