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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. 9-RES-JB
    11. 13359
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    Explanations

    programming-related terms or commands

    oai_token-act-pair · gpt-3.5-turbo

    patterns of repetitive phrases and structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     skelet
    -0.60
     mathemat
    -0.59
    accompan
    -0.58
     enthusi
    -0.55
     Palestin
    -0.55
     estab
    -0.54
     Walters
    -0.53
     undermin
    -0.52
     mosqu
    -0.51
     astron
    -0.51
    POSITIVE LOGITS
    actionDate
    0.81
    displayText
    0.67
     Pwr
    0.65
    otide
    0.65
    ampire
    0.65
    ohm
    0.64
    adeon
    0.62
    ril
    0.62
    ucket
    0.62
    aspberry
    0.61
    Activations Density 0.460%

    No Known Activations