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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. 8-RES-JB
    11. 12684
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    Explanations

    phrases related to requirements or necessities

    oai_token-act-pair · gpt-3.5-turbo

    words related to obligations and necessities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    sites
    -0.72
    ierre
    -0.68
    cipled
    -0.65
    Wallet
    -0.63
    jay
    -0.63
    eless
    -0.63
    hunter
    -0.62
    identally
    -0.62
    farm
    -0.61
    loo
    -0.61
    POSITIVE LOGITS
     therein
    0.96
     herein
    0.88
     thereto
    0.77
     by
    0.77
    itute
    0.64
     hallmark
    0.60
    */(
    0.60
    iments
    0.58
    arium
    0.57
     comprise
    0.57
    Activations Density 0.172%

    No Known Activations