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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. 11058
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    Explanations

    instructions or actions involving physical movements and interactions

    oai_token-act-pair · gpt-3.5-turbo

    references to actions or decisions under pressure

    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
     nominations
    -0.71
    iversity
    -0.71
     nominees
    -0.69
    polit
    -0.68
     acron
    -0.68
     internationally
    -0.66
     multicultural
    -0.66
     NAFTA
    -0.65
     qualifiers
    -0.65
     Franchise
    -0.65
    POSITIVE LOGITS
     immobil
    0.93
     incapac
    0.88
     trapped
    0.87
     eject
    0.84
     crou
    0.80
     retrieve
    0.80
     panicked
    0.80
     momentarily
    0.79
     instantly
    0.76
     respawn
    0.76
    Activations Density 1.197%

    No Known Activations