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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. 5234
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    Explanations

    expressions referring to specific time periods, especially in the context of achievements or initiatives

    oai_token-act-pair · gpt-3.5-turbo

    references to specific time periods, particularly within a year or month context

    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
    Not in Any Lists

    No Comments

    Negative Logits
     unfocusedRange
    -0.75
    ulkan
    -0.73
    Ĥª
    -0.72
    rompt
    -0.69
    ictive
    -0.68
    zsche
    -0.66
    Zone
    -0.66
    ortium
    -0.66
    ategor
    -0.65
    emale
    -0.65
    POSITIVE LOGITS
    imester
    0.82
    anza
    0.80
     of
    0.78
    nings
    0.72
    endment
    0.70
     anniversary
    0.66
     payday
    0.63
     Advent
    0.63
    Initialized
    0.63
    eve
    0.61
    Activations Density 0.112%

    No Known Activations