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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. 8538
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    Explanations

    descriptions of features or attributes, with a focus on technical details and instructions

    oai_token-act-pair · gpt-3.5-turbo

    technical features and functionalities of programming languages or software modules

    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
     UNCLASSIFIED
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     skelet
    -0.77
    etheless
    -0.75
     Azerb
    -0.67
    âĹ¼
    -0.65
     reper
    -0.63
     disadvant
    -0.62
     pse
    -0.61
     unden
    -0.61
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    -0.58
    POSITIVE LOGITS
     âĢº
    0.72
     âĢİ
    0.71
     [âĢ¦]
    0.68
    âĢİ
    0.62
    ↵Âł
    0.60
     Donald
    0.56
     Posted
    0.55
     ....
    0.53
    Stock
    0.51
     spoilers
    0.50
    Activations Density 4.188%

    No Known Activations