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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 24100
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    oai_token-act-pair · gpt-3.5-turbo

    references to social media interactions and hashtags

    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
     fanc
    -0.76
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     quir
    -0.72
     uncover
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     assembling
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     diving
    -0.69
     hybrids
    -0.69
     synthes
    -0.69
     detecting
    -0.69
     attractions
    -0.69
    POSITIVE LOGITS
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    1.09
    sic
    1.04
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    pic
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     (@
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    Posted
    0.88
    Ô
    0.86
     è£ıç
    0.85
     Posted
    0.84
    Activations Density 0.468%

    No Known Activations