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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. 6-RES-JB
    11. 13643
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    Explanations

    phrases related to structured systems or plans

    oai_token-act-pair · gpt-3.5-turbo

    references to various schemes or programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãģĹ
    -0.65
    Flo
    -0.64
    inas
    -0.64
     Clover
    -0.63
    azines
    -0.61
     Hug
    -0.59
     Hond
    -0.59
    Rum
    -0.59
    Nob
    -0.59
     Qiao
    -0.58
    POSITIVE LOGITS
     scheme
    1.07
     schemes
    1.06
     devised
    0.87
    etary
    0.85
    ĸļ
    0.84
    eers
    0.80
    ulence
    0.79
    eering
    0.77
    matic
    0.74
    matically
    0.72
    Activations Density 0.013%

    No Known Activations