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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. 11-RES-JB
    11. 1650
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    INDEX
    Explanations

    descriptions of various contests and competitions

    oai_token-act-pair · gpt-3.5-turbo

    references to competition and rankings in sports or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     intrusive
    -0.63
     impulse
    -0.59
    ptoms
    -0.58
    ogle
    -0.57
     manifests
    -0.57
    uters
    -0.55
    Det
    -0.55
    behavior
    -0.54
    ffect
    -0.54
     manifest
    -0.54
    POSITIVE LOGITS
     undefeated
    1.19
     semifinals
    1.16
     qualifier
    1.13
     finals
    1.13
     relegation
    1.11
     Finals
    1.10
     tournament
    1.10
     qualifiers
    1.09
     rematch
    1.08
     unbeaten
    1.08
    Activations Density 0.712%

    No Known Activations