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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. 8-RES-JB
    11. 20139
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    Explanations

    years, particularly focusing on the year "2005"

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2005

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    este
    -0.69
    eering
    -0.64
    ez
    -0.64
    ymes
    -0.64
    warts
    -0.64
    place
    -0.63
    onge
    -0.62
    bars
    -0.61
    sheet
    -0.60
    amins
    -0.60
    POSITIVE LOGITS
    å¹
    0.91
    -'
    0.88
     vintage
    0.75
     Fuk
    0.69
     onwards
    0.67
    iens
    0.64
     Cricket
    0.62
    rak
    0.61
    çļ
    0.61
    iyah
    0.60
    Activations Density 0.051%

    No Known Activations