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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 3758
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    Explanations

    phrases related to political and geopolitical discussions

    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 @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cyan
    -0.77
     decomp
    -0.76
     floating
    -0.73
     dirt
    -0.73
     shrouded
    -0.73
     fertil
    -0.72
     spinning
    -0.71
     scattering
    -0.70
     shack
    -0.70
     minim
    -0.69
    POSITIVE LOGITS
    º
    0.96
    £
    0.94
    ĸļ
    0.84
    ¹
    0.83
    Serv
    0.83
     Ibid
    0.79
    catentry
    0.79
    Ī
    0.79
    Sch
    0.77
    âĢķ
    0.77
    Activations Density 0.237%

    No Known Activations