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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. 11-RES-JB
    11. 9210
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to asset management and simulation processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Hastings
    -0.91
     McCarthy
    -0.80
    umph
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    -0.73
     Burger
    -0.72
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    POSITIVE LOGITS
     shader
    1.60
     vertex
    1.53
     Texture
    1.44
     Animation
    1.42
     sprite
    1.42
     animation
    1.42
    Animation
    1.41
    Textures
    1.39
     animate
    1.35
     texture
    1.34
    Activations Density 0.299%

    No Known Activations