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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. 2-RES-JB
    6. 10765
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    Explanations

    contractions ending in 't'

    oai_token-act-pair · gpt-3.5-turbo

    the word "don't" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     behavi
    -0.85
     Skydragon
    -0.84
     tremend
    -0.78
     mosqu
    -0.74
    ħĭ
    -0.70
    CVE
    -0.69
    EStream
    -0.69
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.68
     SetTextColor
    -0.65
     mileage
    -0.65
    POSITIVE LOGITS
    otally
    1.06
    ruck
    1.03
    aylor
    1.03
    ronic
    1.02
    ables
    1.00
    ronics
    1.00
    ron
    0.99
    rix
    0.98
    roph
    0.98
    olkien
    0.98
    Activations Density 0.134%

    No Known Activations