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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. 19125
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    Explanations

    phrases related to persistence or continuity

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize persistence or attachment

    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
    çĶ°
    -0.64
    ,,,,,,,,
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    \\\\\\\\\\\\\\\\
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     Nebula
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    =#
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    Ĥª
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    rss
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    ocene
    -0.57
     pyramid
    -0.57
    %]
    -0.56
    POSITIVE LOGITS
     behalf
    1.07
    shore
    0.88
    erous
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    coming
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    icky
    0.77
    eness
    0.76
     vein
    0.72
    ework
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    unal
    0.71
    eday
    0.67
    Activations Density 0.082%

    No Known Activations