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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. 14456
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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
     flu
    -0.68
     EFF
    -0.63
     reper
    -0.62
     corro
    -0.61
     dissatisf
    -0.61
     Hath
    -0.60
     chalk
    -0.57
     flash
    -0.57
     ultras
    -0.56
     Lans
    -0.56
    POSITIVE LOGITS
    ors
    2.00
    orship
    1.87
    or
    1.83
    orial
    1.43
    orian
    1.42
    ory
    1.37
    orians
    1.32
    ators
    1.31
    orate
    1.31
    oring
    1.31
    Activations Density 0.082%

    No Known Activations