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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. 12027
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    calls to action or phrases encouraging further engagement

    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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    No Comments

    Negative Logits
     Monstrous
    -0.74
     Refresh
    -0.73
     refres
    -0.72
     Ples
    -0.68
     Fisheries
    -0.67
     Reloaded
    -0.67
     FAQ
    -0.62
     Virus
    -0.61
     Corpse
    -0.60
    olitical
    -0.59
    POSITIVE LOGITS
    metics
    0.76
    _-
    0.66
    arthed
    0.65
    amily
    0.64
    Ĥİ
    0.63
    Ont
    0.63
    ForgeModLoader
    0.61
    emonium
    0.60
    Dex
    0.60
    Corn
    0.59
    Activations Density 0.208%

    No Known Activations