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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. 4-RES-JB
    11. 20360
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Dan."

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

    No Comments

    Negative Logits
    CLASSIFIED
    -0.78
     margins
    -0.78
     actionGroup
    -0.75
    ¥ŀ
    -0.74
    ĺħ
    -0.73
     lone
    -0.72
     conspicuous
    -0.68
     margin
    -0.68
    llor
    -0.67
    */(
    -0.66
    POSITIVE LOGITS
    forth
    1.12
    zig
    1.00
    coni
    0.97
    ube
    0.93
    isco
    0.92
     Marino
    0.92
    alog
    0.91
    anton
    0.89
    ovan
    0.89
    olver
    0.88
    Activations Density 0.007%

    No Known Activations