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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. 5-RES-JB
    6. 5617
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    Explanations

    Keywords related to actions or events that occurred prior to a specific point in time

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "prior" indicating previous events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    aden
    -0.77
    rosso
    -0.73
    asp
    -0.71
    RO
    -0.68
    Baby
    -0.68
    %%%%
    -0.66
    ickle
    -0.63
    Hub
    -0.63
    romeda
    -0.63
    mad
    -0.62
    POSITIVE LOGITS
    itiz
    1.23
    itized
    1.11
    etheless
    1.09
    ities
    1.06
    ebin
    0.84
    icip
    0.82
    ITY
    0.77
    ĨĴ
    0.75
    ĸļ
    0.75
    emort
    0.71
    Activations Density 0.023%

    No Known Activations