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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. 20254
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    Explanations

    phrases introducing a list or a series of points

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating multiple reasons or factors

    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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    Rated
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    fell
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     Berks
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    only
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    kel
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     +++
    -0.61
    dal
    -0.60
     "+
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    bye
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     Borough
    -0.58
    POSITIVE LOGITS
    ²¾
    0.70
    apo
    0.70
     Firstly
    0.67
     outright
    0.66
     centrif
    0.63
     obvious
    0.62
     principled
    0.61
     appe
    0.61
     straightforward
    0.59
    tle
    0.59
    Activations Density 0.199%

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