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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. 9-RES-JB
    11. 13930
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    Explanations

    references to past events or time

    oai_token-act-pair · gpt-3.5-turbo

    references to the past

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    redo
    -0.77
    acts
    -0.68
    wake
    -0.67
    aspx
    -0.66
    Scene
    -0.66
    Sense
    -0.66
    Notes
    -0.64
    Ward
    -0.63
    illation
    -0.63
     resumes
    -0.61
    POSITIVE LOGITS
     era
    0.88
     eras
    0.84
     hey
    0.76
     existed
    0.74
     Era
    0.73
     days
    0.73
     epoch
    0.73
     Atari
    0.72
     nostalg
    0.70
     unimaginable
    0.69
    Activations Density 0.292%

    No Known Activations