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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. 2237
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    Explanations

    phrases related to technological issues

    oai_token-act-pair · gpt-3.5-turbo

    references to media playback issues

    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
    ogy
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    apeake
    -0.65
    naires
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    naire
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     Nanto
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    ettlement
    -0.62
     Sed
    -0.59
    bats
    -0.59
     Leaves
    -0.58
    ynthesis
    -0.57
    POSITIVE LOGITS
     unsupported
    0.90
    PLIED
    0.84
    iframe
    0.77
    iful
    0.75
     ï
    0.68
    Pinterest
    0.66
     mute
    0.65
    BBC
    0.65
    IELD
    0.63
    utf
    0.63
    Activations Density 0.011%

    No Known Activations