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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. 10-RES-JB
    11. 2775
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to Guinness World Records

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ayne
    -0.99
    acted
    -0.83
    uci
    -0.80
    ysis
    -0.76
    rite
    -0.74
    atche
    -0.74
    igr
    -0.72
    ardless
    -0.72
    ding
    -0.71
    ife
    -0.71
    POSITIVE LOGITS
    Ĩ
    0.71
     Moreno
    0.67
     Pengu
    0.65
    ixel
    0.65
     oper
    0.64
     Barbarian
    0.62
    andum
    0.62
     CTR
    0.61
    ocy
    0.61
     Ply
    0.61
    Activations Density 0.140%

    No Known Activations