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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. 10-RES-JB
    11. 8089
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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
    worth
    -0.64
    neg
    -0.62
     largeDownload
    -0.60
    terson
    -0.58
     havoc
    -0.56
     @@
    -0.55
     passers
    -0.55
    upon
    -0.54
     Faust
    -0.54
     Goodbye
    -0.53
    POSITIVE LOGITS
    İ
    0.62
    ¾
    0.56
     GeForce
    0.55
     encount
    0.54
    ummy
    0.54
    taboola
    0.54
    Ĵ
    0.53
    bleacher
    0.53
    IRE
    0.52
    ipl
    0.52
    Activations Density 0.064%

    No Known Activations