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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. 3-RES-JB
    11. 17616
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Corpor
    -0.81
     Parks
    -0.75
     MLG
    -0.74
     Ath
    -0.68
     CSI
    -0.68
    ARK
    -0.68
     Pf
    -0.65
     Ib
    -0.65
    arks
    -0.62
    KR
    -0.61
    POSITIVE LOGITS
     inbox
    1.36
    email
    1.05
     mailbox
    0.98
    ername
    0.97
    mail
    0.90
    romeda
    0.89
     Dragonbound
    0.88
    mble
    0.86
    inia
    0.82
    es
    0.81
    Activations Density 0.011%

    No Known Activations