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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. 10-RES-JB
    6. 22606
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    Explanations

    words related to instant products or processes

    oai_token-act-pair · gpt-3.5-turbo

    references to "instant" products or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    llah
    -0.78
    umbing
    -0.77
    ^^^^
    -0.68
    ALD
    -0.66
     Seeking
    -0.63
    ramids
    -0.63
    atche
    -0.62
    MIC
    -0.62
    tnc
    -0.62
    avid
    -0.61
    POSITIVE LOGITS
    aneously
    2.14
    aneous
    1.63
     gratification
    1.53
    iation
    1.40
    iated
    1.37
    iations
    1.36
    iating
    1.29
    iate
    1.25
    iates
    1.12
     replay
    1.08
    Activations Density 0.022%

    No Known Activations