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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. 6-RES-JB
    11. 23819
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    Explanations

    phrases related to sending messages or signals

    oai_token-act-pair · gpt-3.5-turbo

    references to sending messages or signals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Dealer
    -0.72
    Ü
    -0.67
    Applic
    -0.65
     Ascension
    -0.65
    âĶĢâĶĢâĶĢâĶĢ
    -0.65
    TED
    -0.63
     Tradable
    -0.63
    ãĥ¡
    -0.61
    -->
    -0.61
    natureconservancy
    -0.61
    POSITIVE LOGITS
     forth
    0.81
    issors
    0.78
     message
    0.76
     packing
    0.73
     reinforcements
    0.73
    mail
    0.70
     Newsletter
    0.69
     condolences
    0.69
    archive
    0.68
    inel
    0.68
    Activations Density 0.136%

    No Known Activations