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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
    11. 18315
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    Explanations

    proper nouns of TV shows and universities

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and specific character formatting in written content

    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
    Not in Any Lists

    No Comments

    Negative Logits
    bro
    -0.75
    onian
    -0.74
     whis
    -0.73
    itaire
    -0.71
    eb
    -0.71
    cube
    -0.70
    kefeller
    -0.70
    woods
    -0.70
    runners
    -0.69
    cies
    -0.68
    POSITIVE LOGITS
     âĢ
    1.90
     «
    1.33
     **
    1.31
     *
    1.28
     ¶
    1.24
     âĶ
    1.22
     â
    1.19
     ***
    1.19
     ãĢĮ
    1.18
     ®
    1.16
    Activations Density 0.231%

    No Known Activations