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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
    11. 804
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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
    rd
    -1.14
    ayn
    -0.91
    alez
    -0.84
    aire
    -0.83
    olia
    -0.81
    aye
    -0.81
    hetti
    -0.81
    enegger
    -0.80
    ochet
    -0.79
    rament
    -0.79
    POSITIVE LOGITS
    soever
    0.85
    BILITIES
    0.73
    cules
    0.71
     thirds
    0.71
    ipop
    0.69
    mia
    0.65
    poke
    0.65
     externalToEVAOnly
    0.65
    ãĥīãĥ©ãĤ´ãĥ³
    0.65
    dayName
    0.64
    Activations Density 0.089%

    No Known Activations