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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. 11-RES-JB
    11. 6355
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sentences or phrases that indicate a conclusion or summary

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     accuser
    -0.72
     foul
    -0.71
    usalem
    -0.66
    uer
    -0.65
    ierrez
    -0.65
    antz
    -0.65
     condol
    -0.65
     occupation
    -0.62
    emetery
    -0.62
    interstitial
    -0.62
    POSITIVE LOGITS
     Fortunately
    1.31
     Developers
    1.28
     Luckily
    1.27
     Ideally
    1.27
     Unfortunately
    1.26
     Additionally
    1.25
     However
    1.25
     Furthermore
    1.23
     Moreover
    1.23
     Therefore
    1.22
    Activations Density 0.237%

    No Known Activations