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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. 0-RES-JB
    11. 11540
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    Explanations

    mentions of servers in technological contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to server infrastructure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GV
    -0.79
    igan
    -0.75
    angle
    -0.74
    iggle
    -0.68
    ilateral
    -0.68
    azaki
    -0.67
     Symbol
    -0.66
    indu
    -0.66
     pupil
    -0.65
     strand
    -0.64
    POSITIVE LOGITS
     servers
    2.93
     server
    1.66
     bathrooms
    1.55
     pronouns
    1.37
     restrooms
    1.34
     Dat
    1.31
     Server
    1.28
     databases
    1.20
     computers
    1.18
     consoles
    1.15
    Activations Density 0.008%

    No Known Activations