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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. 6-RES-JB
    11. 781
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    Explanations

    references to central banks

    oai_token-act-pair · gpt-3.5-turbo

    references to central banks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hep
    -0.78
     Hawth
    -0.77
     Dove
    -0.73
     Valkyrie
    -0.71
     EVE
    -0.71
     Goat
    -0.71
     IMAGES
    -0.70
    CRIP
    -0.69
     Lear
    -0.69
     Crab
    -0.69
    POSITIVE LOGITS
    ollar
    0.96
    rarily
    0.88
     liquidity
    0.88
    erity
    0.84
     bulls
    0.83
     regulation
    0.82
     appointed
    0.79
    eding
    0.77
     tightening
    0.76
     appoint
    0.75
    Activations Density 0.041%

    No Known Activations