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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. 7415
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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 @ 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
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    Negative Logits
    iling
    -0.78
    ricular
    -0.74
    venient
    -0.73
    ced
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    wu
    -0.71
    mental
    -0.69
    learning
    -0.68
    chant
    -0.68
    emonic
    -0.68
    oled
    -0.68
    POSITIVE LOGITS
    ahead
    0.86
    ãĤ¶
    0.75
     identical
    0.73
    bones
    0.70
     like
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     suspic
    0.69
     snipp
    0.69
    \\\\\\\\
    0.66
     harmless
    0.66
     unbeat
    0.66
    Activations Density 0.063%

    No Known Activations