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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. 9-RES-JB
    11. 2932
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    Explanations

    dates expressed in year format such as "2011" or statements ending with a single period

    oai_token-act-pair · gpt-3.5-turbo

    sentences that end with a period

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.97
     carbohyd
    -0.73
    ãĥĵ
    -0.70
     psychiat
    -0.69
     destro
    -0.66
     scourge
    -0.65
     teasp
    -0.65
     dracon
    -0.64
     mammoth
    -0.64
    ãĤ¬
    -0.64
    POSITIVE LOGITS
     Lastly
    1.32
    ↵
    1.20
     Eventually
    1.20
     Additionally
    1.14
     Finally
    1.12
     Afterwards
    1.12
     However
    1.11
     Regardless
    1.10
     Anyway
    1.10
     Later
    1.10
    Activations Density 0.695%

    No Known Activations