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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. 10-RES-JB
    11. 21493
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to advertisements and promotional content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     USD
    -0.59
     axe
    -0.56
    +)
    -0.56
    egal
    -0.56
    +,
    -0.56
     precaution
    -0.55
    +.
    -0.55
     stump
    -0.54
     helm
    -0.54
     intentional
    -0.53
    POSITIVE LOGITS
    Photo
    1.03
    Mr
    0.95
    Newsletter
    0.94
    Mrs
    0.92
     Mr
    0.86
    Ms
    0.80
     ''
    0.78
     Mrs
    0.78
    Write
    0.76
     Ms
    0.75
    Activations Density 0.189%

    No Known Activations