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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. 16537
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    Explanations

    references to academic years and school-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to academic years and related events

    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
    DERR
    -0.69
    detail
    -0.65
    MSN
    -0.64
    ãĤ¨ãĥ«
    -0.63
     subtitles
    -0.61
     cheers
    -0.59
    dain
    -0.59
     leveled
    -0.58
     microphones
    -0.58
     substitutes
    -0.58
    POSITIVE LOGITS
     year
    1.76
     period
    1.74
     years
    1.63
     decade
    1.63
     month
    1.56
     YEAR
    1.56
    years
    1.55
     months
    1.51
    year
    1.51
     lifespan
    1.51
    Activations Density 0.651%

    No Known Activations