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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. 4902
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    Explanations

    information related to people's names and titles, potentially in a formal or official context

    oai_token-act-pair · gpt-3.5-turbo

    references to recent events or newsworthy occurrences

    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
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    No Comments

    Negative Logits
     rag
    -0.80
     ET
    -0.70
     Pag
    -0.65
     tap
    -0.62
     DOT
    -0.59
     brace
    -0.59
     depend
    -0.59
     rept
    -0.58
     vehicle
    -0.58
     Gan
    -0.58
    POSITIVE LOGITS
    };
    0.82
    III
    0.77
    CHAPTER
    0.75
    ¾
    0.74
    bowl
    0.73
    II
    0.73
    Finally
    0.73
    archive
    0.73
    ################################
    0.72
    ģ«
    0.72
    Activations Density 0.119%

    No Known Activations