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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. 11044
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    Explanations

    years represented as four-digit numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to the year 2014

    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
    ishing
    -1.01
    iday
    -0.83
    ingham
    -0.83
    ishes
    -0.82
    ishment
    -0.80
    aries
    -0.80
    ership
    -0.78
    ishers
    -0.76
    ype
    -0.75
    ancial
    -0.74
    POSITIVE LOGITS
    teenth
    0.84
    velop
    0.83
    393
    0.77
    ãģĨ
    0.71
    asio
    0.71
    cean
    0.71
     millenn
    0.71
    ħĭ
    0.70
    ptive
    0.69
    chin
    0.68
    Activations Density 0.118%

    No Known Activations