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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. 13807
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    bia
    -0.74
    church
    -0.74
    conservancy
    -0.71
    ãĤ¯
    -0.68
    ntil
    -0.68
     Canaveral
    -0.63
     ..........
    -0.63
    CLASSIFIED
    -0.63
     boarding
    -0.62
    ãĤ¤ãĥĪ
    -0.62
    POSITIVE LOGITS
     conclud
    0.74
     mentioning
    0.72
     comparing
    0.70
     focuses
    0.67
     emphasizes
    0.63
     compares
    0.60
     Overall
    0.60
    soType
    0.59
     underestimated
    0.59
     coincides
    0.59
    Activations Density 0.835%

    No Known Activations