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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. 3-RES-JB
    11. 11345
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    Explanations

    words related to global issues or phenomena

    oai_token-act-pair · gpt-3.5-turbo

    references to global issues or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    veyard
    -0.96
    _-
    -0.90
    WARE
    -0.89
    Acknowled
    -0.84
    IENT
    -0.83
    maid
    -0.81
    FUL
    -0.80
    RANT
    -0.80
    MENTS
    -0.79
    HOU
    -0.78
    POSITIVE LOGITS
     warming
    1.17
    ized
    0.88
    isation
    0.87
     climate
    0.87
     citizenship
    0.85
     economy
    0.85
     ocean
    0.84
     terrorism
    0.82
     treaty
    0.82
    ization
    0.81
    Activations Density 0.025%

    No Known Activations