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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. 4-RES-JB
    6. 23045
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    Explanations

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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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    No Comments

    Negative Logits
     Reincarn
    -0.66
     trademarks
    -0.63
     Geo
    -0.61
     chloride
    -0.61
    orkshire
    -0.60
    IGH
    -0.60
    ental
    -0.59
     Norn
    -0.58
    Strong
    -0.58
     Neph
    -0.58
    POSITIVE LOGITS
    task
    1.15
     task
    1.06
    masters
    0.90
    Task
    0.89
    mire
    0.89
     tasks
    0.88
    lessly
    0.87
     Task
    0.84
    ioned
    0.82
    nob
    0.82
    Activations Density 0.016%

    No Known Activations