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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. 11808
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    Explanations

    dates and events in time-related contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to events or incidents related to violence or crime

    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
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    No Comments

    Negative Logits
     millenn
    -0.73
    soever
    -0.56
    ipedia
    -0.50
    igel
    -0.50
     nep
    -0.50
     gladly
    -0.49
     pse
    -0.49
    dit
    -0.49
    ateg
    -0.48
     haste
    -0.48
    POSITIVE LOGITS
     aboard
    0.84
     inside
    0.83
    near
    0.83
     near
    0.81
     downtown
    0.80
     outside
    0.79
    .</
    0.76
     at
    0.75
     in
    0.74
     northwest
    0.73
    Activations Density 0.494%

    No Known Activations