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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. 10-RES-JB
    11. 694
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    INDEX
    Explanations

    descriptive phrases related to physical locations

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to the struggles and nuances of life

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    JP
    -0.72
    possibly
    -0.71
     Participant
    -0.71
    Source
    -0.71
    Recommend
    -0.70
    POSE
    -0.70
    Specific
    -0.70
    JUST
    -0.70
     Using
    -0.70
    =(
    -0.69
    POSITIVE LOGITS
     antics
    1.32
     spectacle
    1.18
     dramas
    1.14
     glare
    1.12
     rhythms
    1.11
     brilliance
    1.09
     shenanigans
    1.09
     onslaught
    1.07
     horrors
    1.07
     clich
    1.06
    Activations Density 0.519%

    No Known Activations