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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. 214
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    Explanations

    words related to nightclubs and illegal drugs

    oai_token-act-pair · gpt-3.5-turbo

    references to social gatherings or organizations

    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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    Negative Logits
    å¦
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    Accessory
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     IMAGES
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    ãģĹ
    -0.72
    NESS
    -0.71
    åĤ
    -0.68
    CG
    -0.66
    inventoryQuantity
    -0.65
     Marketable
    -0.65
     defic
    -0.65
    POSITIVE LOGITS
    bing
    1.31
    bable
    1.06
    bers
    1.02
    bed
    0.96
    bish
    0.92
    mers
    0.87
     membership
    0.86
    bie
    0.86
    sters
    0.84
     dues
    0.83
    Activations Density 0.018%

    No Known Activations