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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. 8-RES-JB
    11. 6160
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    Explanations

    phrases indicating a sequence of actions or steps

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating purpose or intent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    marine
    -0.67
    reens
    -0.59
    minent
    -0.58
     Sleeping
    -0.55
     Berks
    -0.54
     Ve
    -0.54
     outweigh
    -0.53
     drowned
    -0.52
     ankles
    -0.51
    onite
    -0.51
    POSITIVE LOGITS
     meantime
    0.77
     refres
    0.74
    awaru
    0.68
    ety
    0.65
     disclaimer
    0.65
     disclaim
    0.64
    ratulations
    0.64
    forming
    0.63
    antha
    0.62
    isites
    0.61
    Activations Density 0.159%

    No Known Activations