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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. 11486
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    Explanations

    numerical values related to locations or quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific numeric values or codes

    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
    •Embedding Space Digit Features

    No Comments

    Negative Logits
     disarm
    -0.69
    NetMessage
    -0.68
     muscular
    -0.68
    ery
    -0.66
     Inspector
    -0.66
     breaches
    -0.65
     inspector
    -0.65
     laps
    -0.63
     weaknesses
    -0.63
    ħ
    -0.61
    POSITIVE LOGITS
    1000
    3.22
     1000
    2.77
    1500
    2.16
     1200
    2.02
    1200
    2.02
     10000
    1.96
    3000
    1.93
     1500
    1.92
    5000
    1.88
     5000
    1.87
    Activations Density 0.020%

    No Known Activations