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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. 4-RES-JB
    11. 14369
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    Explanations

    words related to refinement or improvement

    oai_token-act-pair · gpt-3.5-turbo

    words related to refinement or improvement

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

    Negative Logits
    shr
    -0.69
     Apostle
    -0.69
     Cthulhu
    -0.68
    iland
    -0.68
    gmail
    -0.65
    EMOTE
    -0.64
    gap
    -0.63
    MN
    -0.63
    groups
    -0.63
    wi
    -0.62
    POSITIVE LOGITS
     refined
    1.04
     refining
    1.02
     refinement
    0.97
    inement
    0.96
     refine
    0.95
    issance
    0.94
     tremend
    0.89
    ineries
    0.86
    ocity
    0.86
    uesday
    0.85
    Activations Density 0.019%

    No Known Activations