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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. 7-RES-JB
    11. 18852
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    INDEX
    Explanations

    phrases starting with "Those"

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases emphasizing emphasis or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILY
    -0.86
    ob
    -0.75
    kamp
    -0.71
    achus
    -0.71
    ointment
    -0.71
    Drag
    -0.70
    orate
    -0.69
    PLA
    -0.66
    verend
    -0.65
    shapeshifter
    -0.65
    POSITIVE LOGITS
     pesky
    1.08
     kinds
    0.88
     fateful
    0.75
     thoughts
    0.74
     sorts
    0.74
     damned
    0.73
    devices
    0.73
     sights
    0.72
     wishing
    0.71
     same
    0.71
    Activations Density 0.073%

    No Known Activations