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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. 7-RES-JB
    11. 11706
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    Explanations

    phrases emphasizing significance or importance

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the significance of events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĺħ
    -0.78
    apons
    -0.78
    asus
    -0.78
    oreAnd
    -0.74
    raltar
    -0.72
    etheus
    -0.72
    elve
    -0.71
    icol
    -0.70
    zech
    -0.70
    perty
    -0.68
    POSITIVE LOGITS
    breaker
    0.80
    ership
    0.79
     deal
    0.79
     breaker
    0.78
    killer
    0.76
    deals
    0.71
     negotiator
    0.68
     NAFTA
    0.67
    ually
    0.66
    ability
    0.64
    Activations Density 0.014%

    No Known Activations