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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. 6-RES-JB
    6. 11145
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    citations and references to various authors and their works

    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
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    No Comments

    Negative Logits
    respective
    -0.54
    patient
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     surgeries
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    isSpecialOrderable
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     perimeter
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    abi
    -0.50
    ç
    -0.49
    resa
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    pee
    -0.49
     Kardash
    -0.47
    POSITIVE LOGITS
     aptly
    0.70
     "...
    0.66
     pg
    0.66
     Wired
    0.65
     ""
    0.63
     Slate
    0.62
     distribut
    0.61
     "â̦
    0.60
    zsche
    0.59
     NYT
    0.59
    Activations Density 0.647%

    No Known Activations