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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. 11-RES-JB
    11. 5963
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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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     challeng
    -0.66
     volunte
    -0.62
     nodd
    -0.59
     glim
    -0.58
     predec
    -0.57
    userc
    -0.56
     carbohyd
    -0.54
     advoc
    -0.53
     tremend
    -0.52
     neighb
    -0.51
    POSITIVE LOGITS
     However
    0.81
     But
    0.79
     Though
    0.76
     They
    0.76
     Hence
    0.76
     Fortunately
    0.76
     Instead
    0.75
     Unfortunately
    0.75
     Whilst
    0.74
     Nevertheless
    0.74
    Activations Density 0.988%

    No Known Activations