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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 11762
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    Explanations

    phrases related to research studies and their findings

    oai_token-act-pair · gpt-3.5-turbo

    mentions of researchers or research activities

    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
     Maiden
    -0.67
     Passage
    -0.63
    BuyableInstoreAndOnline
    -0.60
     Pradesh
    -0.60
     Rapids
    -0.58
    Enough
    -0.58
     Judgment
    -0.58
    lite
    -0.57
     Flames
    -0.57
    stick
    -0.56
    POSITIVE LOGITS
     Researchers
    0.88
    Researchers
    0.87
    hran
    0.85
    hips
    0.84
    paces
    0.83
     studying
    0.81
     researcher
    0.80
     researching
    0.79
    hip
    0.78
    sonian
    0.78
    Activations Density 0.029%

    No Known Activations