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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. 7-RES-JB
    11. 6519
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to temperature or heat

    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
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    No Comments

    Negative Logits
     Goff
    -0.77
    VICE
    -0.76
     Mandela
    -0.73
    RB
    -0.69
    allery
    -0.69
    âĢ¢âĢ¢
    -0.66
    mbuds
    -0.66
     Merry
    -0.65
     Doct
    -0.64
    doms
    -0.63
    POSITIVE LOGITS
    hens
    1.26
    seekers
    0.98
    wave
    0.97
    waves
    0.96
    stroke
    0.94
     oven
    0.90
    heat
    0.87
     exhaustion
    0.86
    hen
    0.85
    Heat
    0.83
    Activations Density 0.034%

    No Known Activations