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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 9128
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ahime
    -0.84
     Ara
    -0.78
     Hil
    -0.77
     Bil
    -0.76
     371
    -0.74
    ionics
    -0.72
     356
    -0.72
    036
    -0.72
     Ning
    -0.71
    obi
    -0.71
    POSITIVE LOGITS
    ST
    1.52
     ST
    1.45
    st
    1.42
    St
    1.34
     St
    1.33
     Street
    1.31
    STER
    1.25
     Starr
    1.23
    Street
    1.22
     Stanton
    1.22
    Activations Density 0.315%

    No Known Activations