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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. 7-RES-JB
    11. 18906
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    Explanations

    dates and related terms denoting the passing of time

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates and times

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    iland
    -0.58
    heast
    -0.54
    arious
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     tremend
    -0.52
    orea
    -0.51
    NRS
    -0.51
    aiman
    -0.50
    TEXTURE
    -0.49
    arent
    -0.49
    oslav
    -0.48
    POSITIVE LOGITS
    oola
    0.78
    scl
    0.71
     Coffin
    0.64
    loe
    0.56
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    0.55
    Connor
    0.54
    bath
    0.54
    zona
    0.53
    ument
    0.53
     è£ıè
    0.53
    Activations Density 1.075%

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