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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. 7-RES-JB
    11. 1470
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    cible
    -0.73
    gone
    -0.71
    ormal
    -0.69
    nesia
    -0.68
     debilitating
    -0.66
    ĪĴ
    -0.66
     tranquil
    -0.66
    gran
    -0.65
     shame
    -0.65
     dro
    -0.65
    POSITIVE LOGITS
     Images
    1.10
     Ltd
    0.94
    ystem
    0.93
     Entertainment
    0.91
     IMAGES
    0.88
     Agency
    0.86
     Library
    0.85
    File
    0.81
    Library
    0.81
     Photographer
    0.80
    Activations Density 0.027%

    No Known Activations