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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. 23021
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    INDEX
    Explanations

    opportunities for learning and development, particularly in professional contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of training and support opportunities

    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
     eleph
    -0.90
    senal
    -0.87
     tremend
    -0.84
     exting
    -0.81
     oun
    -0.81
     occas
    -0.78
     subur
    -0.78
     earthqu
    -0.78
    ò
    -0.76
     citiz
    -0.74
    POSITIVE LOGITS
    ↵
    0.91
    Course
    0.78
    Optional
    0.73
    Limit
    0.68
    Minimum
    0.68
    Bott
    0.68
    Reward
    0.67
    Ability
    0.67
    Testing
    0.66
    Limited
    0.66
    Activations Density 0.266%

    No Known Activations