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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. 3-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to server technology and architecture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĸļ
    -0.97
    itious
    -0.80
    hya
    -0.79
    Rated
    -0.75
    ibility
    -0.75
    itives
    -0.75
    ofi
    -0.74
    letters
    -0.73
    utra
    -0.73
    undo
    -0.73
    POSITIVE LOGITS
     server
    0.90
     admins
    0.80
     servers
    0.78
     sshd
    0.77
     farms
    0.74
     reception
    0.74
     implementations
    0.73
     login
    0.72
     overloaded
    0.71
    izen
    0.71
    Activations Density 0.014%

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