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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. 20435
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    Explanations

    function-related terms like "functionally", "functional", and "functionality"

    oai_token-act-pair · gpt-3.5-turbo

    words related to functionality or processes

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ellow
    -0.75
     Fever
    -0.65
    iatus
    -0.64
     Jub
    -0.62
     Nights
    -0.61
     rift
    -0.60
     nephew
    -0.60
    bows
    -0.59
    clus
    -0.58
    emn
    -0.57
    POSITIVE LOGITS
     manual
    0.84
    tenance
    0.81
    Management
    0.78
    Deploy
    0.77
    ername
    0.74
    ALLY
    0.74
    aneous
    0.72
    RM
    0.71
    Application
    0.71
    emort
    0.71
    Activations Density 0.148%

    No Known Activations