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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. 1921
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    Explanations

    terms related to computer servers

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "ser" or related forms

    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
     bang
    -0.68
     Dawn
    -0.66
     sense
    -0.63
     quot
    -0.62
     locks
    -0.62
     undone
    -0.61
     wasteland
    -0.60
     bould
    -0.60
     Cody
    -0.59
     Triangle
    -0.59
    POSITIVE LOGITS
    ser
    4.60
    SER
    1.75
    Ser
    1.74
    sers
    1.72
    serv
    1.65
    served
    1.58
     SER
    1.39
    server
    1.37
     ser
    1.35
     Ser
    1.31
    Activations Density 0.010%

    No Known Activations