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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. 10-RES-JB
    11. 3156
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    Explanations

    verbs related to processing or manipulating information

    oai_token-act-pair · gpt-3.5-turbo

    verbs and actions related to processes and transformations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Dracula
    -0.68
     Cah
    -0.66
    BuyableInstoreAndOnline
    -0.60
     Commissioners
    -0.60
    our
    -0.59
     Confeder
    -0.58
     Horton
    -0.57
     Suffolk
    -0.57
     Phi
    -0.57
     Chung
    -0.56
    POSITIVE LOGITS
     easily
    1.23
     cheaply
    1.19
     anytime
    1.17
     safely
    1.16
     anywhere
    1.14
     anonymously
    1.10
     remotely
    1.02
     securely
    1.01
     indefinitely
    0.97
     freely
    0.96
    Activations Density 0.175%

    No Known Activations