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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. 6-RES-JB
    11. 3800
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    INDEX
    Explanations

    dates and time-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to significant historical events or milestones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erers
    -0.72
    Exec
    -0.72
    Runner
    -0.72
    BILITIES
    -0.70
    lime
    -0.67
    izabeth
    -0.67
    ARDS
    -0.64
    Apps
    -0.61
    MJ
    -0.59
    natureconservancy
    -0.59
    POSITIVE LOGITS
     inception
    1.14
    anmar
    0.79
     arrival
    0.73
     1970
    0.72
     earliest
    0.70
     dawn
    0.70
     advent
    0.69
     1990
    0.69
     beginnings
    0.68
     humble
    0.68
    Activations Density 0.144%

    No Known Activations