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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. 6523
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    Explanations

    words related to being caused or influenced by specific factors or motivations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to causes or forces behind events

    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
    Not in Any Lists

    No Comments

    Negative Logits
    assies
    -0.69
    enegger
    -0.68
    ypes
    -0.66
    IFT
    -0.65
    urai
    -0.64
    ãģį
    -0.63
    iso
    -0.62
     Kinnikuman
    -0.60
    eeks
    -0.59
    aple
    -0.59
    POSITIVE LOGITS
     by
    1.12
     BY
    0.97
    by
    0.96
     solely
    0.89
     principally
    0.87
    By
    0.79
     By
    0.79
     externally
    0.76
     chiefly
    0.76
     jointly
    0.75
    Activations Density 0.180%

    No Known Activations