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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. 5982
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    Explanations

    terms related to historical events

    oai_token-act-pair · gpt-3.5-turbo

    references to significant occurrences or events in a timeline or narrative

    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
    geon
    -0.88
    arton
    -0.74
    alty
    -0.69
    utm
    -0.69
    ãĤĮ
    -0.67
    oug
    -0.67
    geons
    -0.65
    oise
    -0.65
    artisan
    -0.65
    cott
    -0.64
    POSITIVE LOGITS
     unfolding
    1.51
     unfold
    1.39
     transpired
    1.38
     unfolded
    1.36
     occurring
    1.33
     happening
    1.13
     occurred
    1.07
     involving
    1.06
     surrounding
    1.01
     horizon
    1.00
    Activations Density 0.099%

    No Known Activations