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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. 4-RES-JB
    11. 1930
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    Explanations

    personal actions or directives related to sending or communication

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sending or communicating something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Ascension
    -0.72
    Ü
    -0.65
    aneous
    -0.62
     Dealer
    -0.62
     blindness
    -0.61
    standing
    -0.59
    Applic
    -0.59
    ï¸
    -0.58
     Alchemy
    -0.57
     Basil
    -0.57
    POSITIVE LOGITS
    mail
    0.79
    raviolet
    0.72
    inki
    0.70
    anmar
    0.69
    yout
    0.69
    rogens
    0.68
     Pastebin
    0.67
    archive
    0.66
    olicited
    0.66
     message
    0.66
    Activations Density 0.149%

    No Known Activations