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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
    11. 6378
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    INDEX
    Explanations

    instances where people or organizations are described as being prepared or ready for something

    oai_token-act-pair · gpt-3.5-turbo

    the concept of being ready or equipped for various situations or events

    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
    Not in Any Lists

    No Comments

    Negative Logits
    roma
    -0.90
    utra
    -0.82
    drops
    -0.70
    ochet
    -0.70
    enge
    -0.67
    esp
    -0.67
    yards
    -0.66
    enez
    -0.65
    holes
    -0.65
    =-=-=-=-=-=-=-=-
    -0.65
    POSITIVE LOGITS
    itude
    0.88
    atives
    0.82
     rall
    0.82
     prepared
    0.81
    pared
    0.80
    olicy
    0.78
     beforehand
    0.75
    ative
    0.67
    TABLE
    0.67
    iotics
    0.67
    Activations Density 0.015%

    No Known Activations