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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. 19340
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    Explanations

    proper nouns or names, specifically the name "Kent"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Kent."

    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
    xual
    -0.96
    BOOK
    -0.79
     behavi
    -0.77
    issance
    -0.75
    Ö¼
    -0.74
    thood
    -0.74
    PDATE
    -0.71
    ħĭ
    -0.70
    Versions
    -0.70
     encour
    -0.69
    POSITIVE LOGITS
    rell
    0.97
    ucky
    0.95
    mare
    0.91
    wood
    0.83
    isl
    0.82
    rust
    0.82
    alid
    0.81
    alus
    0.79
    uck
    0.79
     Somers
    0.77
    Activations Density 0.022%

    No Known Activations