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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. 5213
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    INDEX
    Explanations

    positive expressions of excitement and anticipation

    oai_token-act-pair · gpt-3.5-turbo

    negative phrases indicating inability or disappointment

    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
    Not in Any Lists

    No Comments

    Negative Logits
     subpoena
    -0.61
     periodically
    -0.60
     prominently
    -0.56
    stown
    -0.56
     spike
    -0.54
     flock
    -0.54
    aceous
    -0.52
     Charity
    -0.52
     Globe
    -0.51
     migrate
    -0.51
    POSITIVE LOGITS
     simpler
    0.92
     nicer
    0.86
     clearer
    0.85
     happier
    0.81
     worse
    0.73
     farther
    0.72
     hotter
    0.67
    bleacher
    0.67
     better
    0.66
     brighter
    0.65
    Activations Density 0.109%

    No Known Activations