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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. 10-RES-JB
    11. 16377
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    Explanations

    the word "that" followed by a contextually important piece of information

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the importance of a specific point or observation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pione
    -0.80
    rack
    -0.78
    ipers
    -0.72
     RandomRedditor
    -0.71
    ė
    -0.71
    ă
    -0.71
    û
    -0.71
    đ
    -0.71
    Đ
    -0.71
    ü
    -0.71
    POSITIVE LOGITS
     although
    1.08
     many
    0.97
     despite
    0.97
     unlike
    0.97
     there
    0.97
     whenever
    0.92
     none
    0.91
     neither
    0.91
     whereas
    0.89
     whilst
    0.86
    Activations Density 0.285%

    No Known Activations