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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. 2-RES-JB
    11. 21920
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    Explanations

    words related to analysis and evaluation

    oai_token-act-pair · gpt-3.5-turbo

    references to "meta" concepts or analyses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Interstitial
    -0.76
    ESCO
    -0.69
    iens
    -0.68
    çİĭ
    -0.68
     Unlimited
    -0.66
     Orioles
    -0.66
    HCR
    -0.64
    shire
    -0.64
     Hurricanes
    -0.63
     Livingston
    -0.63
    POSITIVE LOGITS
     guiActiveUn
    0.94
    ethical
    0.92
     meta
    0.90
    plot
    0.83
    ethyl
    0.76
    alyses
    0.76
    meta
    0.75
     referen
    0.74
    iso
    0.72
    acter
    0.72
    Activations Density 0.006%

    No Known Activations