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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. 9-RES-JB
    11. 1566
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    Explanations

    words related to specific entities or topics

    oai_token-act-pair · gpt-3.5-turbo

    patterns of urgency or emphasis in statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pan
    -0.69
     withdraw
    -0.66
     pan
    -0.62
    uria
    -0.62
    ighth
    -0.60
    wolves
    -0.60
     Cent
    -0.59
     citiz
    -0.58
     asymm
    -0.58
    iton
    -0.57
    POSITIVE LOGITS
    Fans
    0.85
    ³³³
    0.81
    Seriously
    0.81
    ³³³³
    0.79
    ccording
    0.77
    Consider
    0.77
    Speaking
    0.76
    According
    0.74
    Unless
    0.73
    Around
    0.73
    Activations Density 0.339%

    No Known Activations