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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. 6080
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    Explanations

    TV show titles

    oai_token-act-pair · gpt-3.5-turbo

    the presence of specific symbols and punctuation, indicating structure or categorization within text

    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
    kefeller
    -0.93
     whis
    -0.74
     Robbins
    -0.73
    eatures
    -0.72
     Rockefeller
    -0.71
     fortun
    -0.68
    YA
    -0.67
     marketers
    -0.66
     Richards
    -0.65
    woods
    -0.64
    POSITIVE LOGITS
     âĢ
    2.03
     âĶ
    1.39
     **
    1.24
    âĢ
    1.23
     ¶
    1.15
     «
    1.14
     ãĥ
    1.13
     Â
    1.12
     *
    1.09
     â
    1.09
    Activations Density 0.100%

    No Known Activations