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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. 7776
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    Explanations

    expressions of gratitude

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and acknowledgement

    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
    terness
    -0.66
     Mous
    -0.64
     appell
    -0.62
     Ratt
    -0.62
    abal
    -0.61
     Beir
    -0.61
     Confeder
    -0.59
     history
    -0.58
     aber
    -0.58
    essee
    -0.58
    POSITIVE LOGITS
    interstitial
    0.83
     subscribing
    0.82
    à¤
    0.75
    ा
    0.74
    Afee
    0.64
    à¼
    0.59
    Reuters
    0.58
    LLOW
    0.57
    Getty
    0.57
     Oprah
    0.57
    Activations Density 0.038%

    No Known Activations