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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. 6231
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    INDEX
    Explanations

    strong emotional reactions or extreme evaluations

    oai_token-act-pair · gpt-3.5-turbo

    expressions of strong negative opinions or experiences

    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
     Fukushima
    -0.73
    eric
    -0.71
     Daylight
    -0.65
     Indust
    -0.64
    iencies
    -0.62
    ews
    -0.61
     Kimber
    -0.59
     ATF
    -0.59
     Tsu
    -0.59
    itu
    -0.58
    POSITIVE LOGITS
     EVER
    0.96
     ever
    0.89
     feas
    0.75
    illion
    0.74
     imaginable
    0.73
    Merit
    0.73
    undai
    0.70
    aid
    0.69
    Ever
    0.66
    !'
    0.65
    Activations Density 0.145%

    No Known Activations