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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. 20642
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    Explanations

    phrases related to physical contact with an object

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to acquiring or seeking possession of something

    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
    ivari
    -0.85
    grad
    -0.81
    rang
    -0.79
    wx
    -0.76
    FY
    -0.75
    SourceFile
    -0.75
    urdue
    -0.75
    URA
    -0.73
    mpeg
    -0.73
    Applications
    -0.72
    POSITIVE LOGITS
     behalf
    0.99
    shore
    0.99
    erous
    0.93
     Sundays
    0.82
     rooft
    0.81
    etime
    0.81
     adrenaline
    0.76
    emonic
    0.73
     unsuspecting
    0.72
     board
    0.71
    Activations Density 0.161%

    No Known Activations