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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. 7-RES-JB
    11. 11044
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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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    No Comments

    Negative Logits
    £ı
    -0.64
     suffice
    -0.61
    é¾į
    -0.60
     Klu
    -0.57
     Defin
    -0.56
     Parables
    -0.56
    apper
    -0.56
     Pixie
    -0.55
    channelAvailability
    -0.54
     tremend
    -0.54
    POSITIVE LOGITS
     etc
    0.77
    etc
    0.70
     &
    0.65
    cler
    0.64
    ,...
    0.59
    ,
    0.59
     ect
    0.58
    finder
    0.58
    guard
    0.57
    essment
    0.57
    Activations Density 0.509%

    No Known Activations