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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. 9-RES-JB
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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
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    Negative Logits
     pressed
    -0.69
     eyebrow
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     retracted
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    abre
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    arent
    -0.62
    regation
    -0.61
    !'"
    -0.60
     anew
    -0.58
     WATCHED
    -0.58
    POSITIVE LOGITS
    Its
    1.21
     Includes
    1.17
    Contents
    1.12
     Features
    1.12
     Uses
    1.12
     Its
    1.11
     Basically
    1.10
     Originally
    1.10
    Features
    1.07
     Featuring
    1.06
    Activations Density 0.470%

    No Known Activations