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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 2673
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     conduc
    -0.69
     spons
    -0.69
    reality
    -0.67
     rall
    -0.65
     seiz
    -0.65
     gorge
    -0.62
     confir
    -0.61
    wow
    -0.61
    conom
    -0.60
     traged
    -0.60
    POSITIVE LOGITS
     Ibid
    1.00
    ļéĨĴ
    0.81
     Various
    0.75
     Endless
    0.72
     Bone
    0.71
     Incre
    0.70
     Or
    0.68
     Monte
    0.68
     Moroc
    0.67
     Gets
    0.66
    Activations Density 0.410%

    No Known Activations