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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. 4948
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    Explanations

    boolean arguments within technical context

    oai_token-act-pair · gpt-3.5-turbo

    arguments and responsibilities related to social issues

    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
    fortune
    -0.58
    laugh
    -0.56
     chuckle
    -0.56
    OTOS
    -0.56
    ream
    -0.56
    laughs
    -0.55
     Sever
    -0.54
     Yor
    -0.54
    eson
    -0.54
    ictional
    -0.53
    POSITIVE LOGITS
    must
    1.79
     must
    1.76
     need
    1.74
     needs
    1.67
    should
    1.65
     ought
    1.65
    need
    1.62
     MUST
    1.59
     should
    1.56
    needs
    1.56
    Activations Density 0.953%

    No Known Activations