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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. 9-RES-JB
    11. 3218
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    Explanations

    numbers related to locations and sports teams

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.84
    soDeliveryDate
    -0.83
    iosyncr
    -0.74
     carbohyd
    -0.68
     bearer
    -0.66
    vernight
    -0.66
     compassionate
    -0.63
     multif
    -0.63
    catentry
    -0.63
     entreprene
    -0.63
    POSITIVE LOGITS
     0
    0.89
     TOTAL
    0.82
     Deaths
    0.80
     Cannot
    0.78
     399
    0.75
     Tot
    0.73
     APPLIC
    0.73
     Total
    0.72
    66666666
    0.72
     avg
    0.72
    Activations Density 0.088%

    No Known Activations