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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. 15335
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    Explanations

    proper nouns related to events, locations, and individuals

    oai_token-act-pair · gpt-3.5-turbo

    words related to governmental or political structures

    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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    No Comments

    Negative Logits
     Spiegel
    -0.67
    advertisement
    -0.65
     Pastebin
    -0.64
    riott
    -0.63
     crest
    -0.63
    OSP
    -0.62
    ibrary
    -0.61
     guiActiveUn
    -0.61
     vessel
    -0.60
     capsule
    -0.59
    POSITIVE LOGITS
    lehem
    0.81
    eret
    0.72
    chuk
    0.70
    tu
    0.66
    cht
    0.66
    ixt
    0.65
    atu
    0.65
    KK
    0.64
    urst
    0.64
    akeru
    0.63
    Activations Density 0.171%

    No Known Activations