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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. 23078
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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 @ 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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    Negative Logits
    uploads
    -0.75
     Kardash
    -0.62
    pkg
    -0.59
    assisted
    -0.59
    issance
    -0.59
     availability
    -0.59
     imports
    -0.59
    inventoryQuantity
    -0.58
     explos
    -0.58
    href
    -0.58
    POSITIVE LOGITS
     resemb
    0.80
     chord
    0.75
     path
    0.72
    rouse
    0.70
     resemblance
    0.68
    uld
    0.67
    tle
    0.65
    flame
    0.64
     vein
    0.64
     distinction
    0.64
    Activations Density 0.168%

    No Known Activations