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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. 22187
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to scheduled events and appointments

    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
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    No Comments

    Negative Logits
    ulent
    -0.61
    natureconservancy
    -0.57
     Scrib
    -0.55
    ifle
    -0.53
     aspiration
    -0.53
    izoph
    -0.53
     blat
    -0.53
     Mahjong
    -0.52
    dri
    -0.52
    brush
    -0.51
    POSITIVE LOGITS
     to
    1.04
     chatting
    0.69
     arra
    0.68
     attending
    0.67
     interviewed
    0.65
     thereto
    0.65
     debating
    0.64
     eyeing
    0.64
    ioned
    0.64
     visiting
    0.64
    Activations Density 0.127%

    No Known Activations