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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. 1-RES-JB
    11. 6614
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    Explanations

    words related to transportation, specifically ferries

    oai_token-act-pair · gpt-3.5-turbo

    words related to ferocity and intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Companies
    -0.84
    Sensor
    -0.80
     Companies
    -0.76
    Solution
    -0.76
    Lens
    -0.72
    Rated
    -0.71
    States
    -0.71
    Interstitial
    -0.69
    Reading
    -0.69
    pta
    -0.69
    POSITIVE LOGITS
     fer
    1.34
    ried
    1.01
    ocity
    0.84
     retri
    0.84
    dinand
    0.80
     gust
    0.77
    cffff
    0.76
     lion
    0.74
     squirrel
    0.74
    rets
    0.73
    Activations Density 0.006%

    No Known Activations