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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. 7-RES-JB
    11. 18038
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    Explanations

    phrases indicating the culmination or ending of events or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a conclusion or resolution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    llan
    -0.63
    thood
    -0.60
    vich
    -0.59
     Metatron
    -0.58
     Cod
    -0.57
    CLASSIFIED
    -0.56
    cedented
    -0.55
     href
    -0.55
    rand
    -0.55
     Codex
    -0.54
    POSITIVE LOGITS
     conclusion
    1.11
     forefront
    0.99
     fruition
    0.95
     realization
    0.94
     knees
    0.90
     fray
    0.90
     conclusions
    0.86
     intersection
    0.76
     detriment
    0.74
    ender
    0.74
    Activations Density 0.140%

    No Known Activations