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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. 11247
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    Explanations

    mentions of servers or server-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to servers and server-related concepts

    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
    hya
    -0.80
    ĸļ
    -0.79
    itsch
    -0.78
    umar
    -0.75
    itious
    -0.74
    ibility
    -0.73
    ible
    -0.73
    POL
    -0.71
    Rated
    -0.71
    sg
    -0.70
    POSITIVE LOGITS
     reception
    0.86
     admins
    0.85
     server
    0.85
     servers
    0.80
     operated
    0.79
     overloaded
    0.78
     connection
    0.76
     sshd
    0.76
     farms
    0.73
     hosting
    0.73
    Activations Density 0.012%

    No Known Activations