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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. 8-RES-JB
    11. 8128
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to errors or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zos
    -0.68
    tsky
    -0.65
    asers
    -0.65
    ynthesis
    -0.63
    amines
    -0.62
    estyles
    -0.61
    groups
    -0.60
    Redd
    -0.58
     Robots
    -0.58
    iaries
    -0.58
    POSITIVE LOGITS
     occurred
    0.72
     error
    0.66
     occurs
    0.64
    dylib
    0.64
     occ
    0.64
    uracy
    0.63
    cffffcc
    0.60
     Error
    0.59
     happens
    0.59
     message
    0.57
    Activations Density 0.028%

    No Known Activations