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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. 0-RES-JB
    11. 12037
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    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo

    a specific character or symbol, likely indicating a formatting or encoding detail

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     conserv
    -0.76
     document
    -0.68
     wiki
    -0.64
     drive
    -0.64
     market
    -0.63
     fuse
    -0.61
     winds
    -0.60
     trajectory
    -0.60
     Journal
    -0.60
     jugg
    -0.59
    POSITIVE LOGITS
    Ĩ
    4.44
    ħ
    2.07
    ĩ
    1.94
    Ħ
    1.85
    Ī
    1.79
    ¾
    1.77
    Ĥ
    1.75
    ĥ
    1.75
    ¦
    1.72
    ¶
    1.71
    Activations Density 0.011%

    No Known Activations