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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. 23180
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    INDEX
    Explanations

    numerical values and specific patterns related to online activities

    oai_token-act-pair · gpt-3.5-turbo

    patterns related to activity metrics and statistics

    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
    soDeliveryDate
    -0.83
    ¯
    -0.71
    dayName
    -0.62
     transition
    -0.56
    lass
    -0.55
     colonization
    -0.55
    term
    -0.55
    avement
    -0.54
     cabinets
    -0.53
     acad
    -0.52
    POSITIVE LOGITS
     154
    1.15
     455
    1.15
     398
    1.14
     231
    1.13
     226
    1.12
     262
    1.12
     284
    1.11
     295
    1.11
     490
    1.11
     235
    1.11
    Activations Density 0.051%

    No Known Activations