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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. 11-RES-JB
    11. 12134
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    Explanations

    sentences that express satisfaction or approval

    oai_token-act-pair · gpt-3.5-turbo

    sentences that express opinions or evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mosqu
    -0.89
     hijacked
    -0.89
     affili
    -0.85
     satell
    -0.83
    elaide
    -0.81
     breaching
    -0.81
     clandestine
    -0.80
     stagn
    -0.78
     inaccur
    -0.78
     credential
    -0.76
    POSITIVE LOGITS
     Definitely
    1.61
     Highly
    1.60
     Overall
    1.42
     Especially
    1.38
     Its
    1.37
     Personally
    1.35
     However
    1.29
     Otherwise
    1.28
     Honestly
    1.27
     Also
    1.27
    Activations Density 0.206%

    No Known Activations