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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. 7-RES-JB
    11. 18765
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce or emphasize important topics or questions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anchester
    -0.79
    ignt
    -0.71
    inki
    -0.67
    orts
    -0.67
    eme
    -0.66
     accustomed
    -0.64
    iet
    -0.63
    astern
    -0.63
    alian
    -0.62
     hither
    -0.62
    POSITIVE LOGITS
     namely
    1.12
     Cosmos
    0.75
     Return
    0.72
    ãĢij
    0.69
     Fountain
    0.68
     Revenge
    0.68
     Capitalism
    0.65
    INS
    0.65
     MacArthur
    0.64
     Soccer
    0.64
    Activations Density 0.295%

    No Known Activations