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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. 2-RES-JB
    11. 13473
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    Explanations

    names or terms related to being impressed or enthusiastic

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific type of media or content, particularly related to audiovisual material

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Zeit
    -0.68
    fields
    -0.67
    ãĥ¥
    -0.65
     Ghana
    -0.64
    cht
    -0.62
    ãĥĥãĤ¯
    -0.62
    mon
    -0.61
    ãĤ¼
    -0.61
    geist
    -0.61
    folk
    -0.61
    POSITIVE LOGITS
    OV
    1.16
    ISION
    1.09
    ideo
    1.04
    ELY
    1.03
    ILLE
    1.02
    BLIC
    0.98
    irtual
    0.97
    MENT
    0.95
    rolet
    0.91
    ICE
    0.90
    Activations Density 0.008%

    No Known Activations