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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. 6-RES-JB
    11. 2745
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    abbreviations and acronyms in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    rency
    -0.85
    ãĥ¼ãĥĨ
    -0.72
    ciating
    -0.68
    staking
    -0.68
     fastball
    -0.66
     neutrality
    -0.62
    enza
    -0.62
     compr
    -0.62
    aturdays
    -0.61
     CPI
    -0.60
    POSITIVE LOGITS
    opter
    0.73
    throp
    0.72
    ovych
    0.68
    oslav
    0.65
    ################
    0.64
    scope
    0.63
    akov
    0.63
     Harbor
    0.63
    ng
    0.62
    ania
    0.62
    Activations Density 0.222%

    No Known Activations