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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. 8-RES-JB
    11. 10817
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    Explanations

    phrases related to performing actions or instructions

    oai_token-act-pair · gpt-3.5-turbo

    verbs and actions related to reporting and documenting processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Seym
    -0.79
     Niet
    -0.66
    dating
    -0.62
    licted
    -0.61
     Moroc
    -0.60
     Vaugh
    -0.59
     Berm
    -0.59
     nodd
    -0.57
    esides
    -0.57
     Gaw
    -0.56
    POSITIVE LOGITS
     RELEASE
    0.94
    ISE
    0.56
    poses
    0.55
     ASAP
    0.54
    yrights
    0.54
    oreal
    0.54
    ream
    0.54
     Ratio
    0.53
     SHAR
    0.52
    ãĥķãĤ©
    0.51
    Activations Density 0.266%

    No Known Activations