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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. 7-RES-JB
    11. 3030
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    Explanations

    email-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    instances of email-related actions and content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ©
    -0.67
    sect
    -0.65
    Winged
    -0.63
     seams
    -0.63
    fig
    -0.63
    ãĥ¯ãĥ³
    -0.63
    aughters
    -0.62
    ãĥ´
    -0.62
     DRAGON
    -0.61
    natureconservancy
    -0.61
    POSITIVE LOGITS
     Pastebin
    0.79
     Whats
    0.73
    PsyNetMessage
    0.72
     inbox
    0.71
     Abedin
    0.70
     Morse
    0.69
     Gmail
    0.68
     greeting
    0.68
    letters
    0.68
     invitations
    0.68
    Activations Density 0.143%

    No Known Activations