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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. 4-RES-JB
    11. 24312
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    Explanations

    years, specifically the year 1999

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 1999

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hatt
    -0.77
    nces
    -0.76
    holder
    -0.74
    oat
    -0.74
    holders
    -0.72
    senal
    -0.70
    edo
    -0.70
     bearer
    -0.64
    ship
    -0.63
    edIn
    -0.63
    POSITIVE LOGITS
    --+
    0.84
    999
    0.77
    ãĤ¦ãĤ¹
    0.70
    08
    0.69
    05
    0.68
     Reincarn
    0.67
    âĸĪâĸĪ
    0.66
    ĸļ
    0.66
    -'
    0.66
     Nex
    0.66
    Activations Density 0.006%

    No Known Activations