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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. 2-RES-JB
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    Explanations

    terms related to quantifying or measuring

    oai_token-act-pair · gpt-3.5-turbo

    terms related to quantitative analysis and measurement

    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
    HOME
    -0.91
     spare
    -0.65
    lihood
    -0.65
     dear
    -0.65
     Kirin
    -0.64
     Tycoon
    -0.63
    NetMessage
    -0.62
     pine
    -0.62
    aples
    -0.61
    BuyableInstoreAndOnline
    -0.61
    POSITIVE LOGITS
    itatively
    1.54
     quant
    1.37
    ifiable
    0.96
    imet
    0.90
     quantify
    0.88
    ifies
    0.88
    eros
    0.88
    quant
    0.85
    ipl
    0.83
    heast
    0.82
    Activations Density 0.015%

    No Known Activations