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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. 6-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    abase
    -0.75
    >[
    -0.67
    staking
    -0.67
    aples
    -0.64
     nostalg
    -0.63
     recalling
    -0.62
     lumber
    -0.59
    rawdownloadcloneembedreportprint
    -0.59
     lapse
    -0.59
    icidal
    -0.58
    POSITIVE LOGITS
     Ribbon
    0.90
    ãĥĢ
    0.81
    raq
    0.77
     Bean
    0.75
    HEAD
    0.71
    âĸĪâĸĪâĸĪâĸĪ
    0.71
     Thrones
    0.70
     Kare
    0.68
     Awakening
    0.66
    XXX
    0.65
    Activations Density 0.141%

    No Known Activations