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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. 8-RES-JB
    11. 17101
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    Explanations

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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MORE
    -0.70
    talk
    -0.66
    SPONSORED
    -0.64
    ãģĦ
    -0.63
    VERTISEMENT
    -0.63
    tnc
    -0.62
    ogle
    -0.61
    ede
    -0.61
    luster
    -0.60
    Zone
    -0.59
    POSITIVE LOGITS
     collabor
    1.08
     expressly
    0.86
     by
    0.85
     specifically
    0.77
     cheaply
    0.75
     jointly
    0.75
     independently
    0.74
     anew
    0.72
     utilizing
    0.72
     dynamically
    0.71
    Activations Density 0.151%

    No Known Activations