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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. 10808
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
     refres
    -0.70
     Pirate
    -0.64
     Refresh
    -0.63
    olitical
    -0.63
     Fisheries
    -0.61
     Corpse
    -0.60
     Virus
    -0.59
     FAQ
    -0.59
     loophole
    -0.59
     ol
    -0.58
    POSITIVE LOGITS
    metics
    0.81
    ideon
    0.70
    cms
    0.64
    Tag
    0.63
    arthed
    0.63
     indo
    0.62
    _-
    0.61
    Loop
    0.60
    cars
    0.59
    Corn
    0.59
    Activations Density 0.295%

    No Known Activations