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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. 9-RES-JB
    11. 2397
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    Explanations

    phrases related to disappearance or loss

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to concepts of disappearance or being lost

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Specifically
    -0.68
     GOODMAN
    -0.65
    successfully
    -0.64
    Specifically
    -0.63
    cu
    -0.63
    Favorite
    -0.62
    ECA
    -0.61
    primary
    -0.61
     SELECT
    -0.61
    GROUP
    -0.60
    POSITIVE LOGITS
     obscurity
    1.39
    livion
    1.10
     limbo
    1.06
     landfill
    1.03
     afterlife
    1.03
     ashes
    1.02
    emetery
    0.97
     wast
    0.93
     rubble
    0.91
     fate
    0.90
    Activations Density 0.310%

    No Known Activations