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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. 6-RES-JB
    11. 20453
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    Explanations

    years mentioned in sentences in a particular format: "Since [year]," where the year is followed by a non-zero activation value

    oai_token-act-pair · gpt-3.5-turbo

    dates and years mentioned in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Jugg
    -0.64
    Jackson
    -0.62
     Sym
    -0.60
    IPP
    -0.59
     pse
    -0.59
    JP
    -0.58
    Ask
    -0.58
     Handling
    -0.57
     Lob
    -0.56
    ãĥķ
    -0.55
    POSITIVE LOGITS
     onwards
    0.77
    ties
    0.75
    cade
    0.74
    rf
    0.73
    chard
    0.68
    cards
    0.67
    irtual
    0.66
    quist
    0.66
    iatus
    0.66
    cation
    0.66
    Activations Density 0.075%

    No Known Activations