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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. 5-RES-JB
    6. 13000
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    Explanations

    text related to computing and technical instructions

    oai_token-act-pair · gpt-3.5-turbo

    indications of processes or functions that relate to division and segmentation in various contexts, often represented by the "/" symbol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Grimes
    -0.78
     Giov
    -0.75
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    -0.72
     Canter
    -0.71
     Tasman
    -0.71
     Wyn
    -0.71
     Kern
    -0.71
     Chambers
    -0.70
     Tornado
    -0.69
    POSITIVE LOGITS
    etc
    1.57
    whatever
    1.35
    Flickr
    1.13
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    1.08
    workshop
    1.06
    photos
    1.00
    legal
    1.00
    coll
    0.98
    non
    0.97
    oops
    0.96
    Activations Density 0.048%

    No Known Activations