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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. 12197
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    INDEX
    Explanations

    references to sports events and competitions

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and prepositions in contexts related to sports and competitions

    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
    oke
    -0.77
    forces
    -0.76
    sense
    -0.76
    eyed
    -0.73
    uid
    -0.72
    ãĥ¼ãĥ
    -0.70
    agents
    -0.69
     minded
    -0.69
    WARE
    -0.68
    ickr
    -0.68
    POSITIVE LOGITS
     playoffs
    1.56
     postseason
    1.48
     finals
    1.33
     playoff
    1.33
     Finals
    1.33
     Playoffs
    1.32
     semifinals
    1.25
     championships
    1.23
     midterm
    1.22
     Olympics
    1.17
    Activations Density 0.284%

    No Known Activations