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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. 7-RES-JB
    6. 16027
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    dates and specific time references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igans
    -0.76
    ukes
    -0.68
     Genie
    -0.68
    ufact
    -0.64
    akespe
    -0.63
    aghetti
    -0.61
    igham
    -0.61
    bage
    -0.59
    GGGGGGGG
    -0.59
    ioch
    -0.58
    POSITIVE LOGITS
    th
    1.15
    rd
    0.88
    TH
    0.81
     2018
    0.79
     2017
    0.77
    2200
    0.76
     2015
    0.74
     2014
    0.72
     2016
    0.70
    2016
    0.70
    Activations Density 0.085%

    No Known Activations