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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. 12078
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Tu" and its variations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.75
    âĸ¬
    -0.73
    rawdownloadcloneembedreportprint
    -0.73
    ãĤ®
    -0.72
     Frie
    -0.70
    å°Ĩ
    -0.70
     constants
    -0.67
    éĹĺ
    -0.66
     SPD
    -0.66
     Rebirth
    -0.66
    POSITIVE LOGITS
    fts
    1.16
    ples
    1.10
    culosis
    1.05
    Tu
    1.01
    pper
    0.97
    esta
    0.94
    itton
    0.93
    pping
    0.92
    ipers
    0.92
     Klux
    0.92
    Activations Density 0.013%

    No Known Activations