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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. 10-RES-JB
    11. 5670
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    INDEX
    Explanations

    phrases related to positive experiences or things that are appreciated

    oai_token-act-pair · gpt-3.5-turbo

    expressions of positive sentiment or praise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Emb
    -0.71
    avia
    -0.69
    mitt
    -0.68
    pex
    -0.68
    canon
    -0.68
    avis
    -0.65
    Downloadha
    -0.64
    actionDate
    -0.64
    Phase
    -0.63
    ptin
    -0.62
    POSITIVE LOGITS
     opportunity
    0.92
     idea
    0.90
     job
    0.86
     fun
    0.82
     tasting
    0.80
     news
    0.79
     teamwork
    0.78
     sounding
    0.78
     asset
    0.77
     insight
    0.75
    Activations Density 0.085%

    No Known Activations