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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. 1-RES-JB
    6. 7987
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    Explanations

    words ending in '-ing'

    oai_token-act-pair · gpt-3.5-turbo

    gerunds or present participles of verbs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ£
    -0.81
     Weston
    -0.71
    ivari
    -0.69
    dayName
    -0.69
     Lockheed
    -0.68
    imet
    -0.68
    kamp
    -0.67
    imester
    -0.66
    ãĥ¼ãĥ«
    -0.66
    ichita
    -0.66
    POSITIVE LOGITS
    LY
    1.28
    GGGGGGGG
    1.19
    ING
    1.19
    NESS
    1.18
    HAM
    1.17
    ERAL
    1.10
    ER
    0.99
    IAL
    0.99
    INGS
    0.98
    LES
    0.98
    Activations Density 0.012%

    No Known Activations