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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. 9-RES-JB
    11. 1024
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    INDEX
    Explanations

    instances of words related to high or extreme conditions or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    the starting point of descriptions for various Pokémon species

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ïī
    -0.83
    ifice
    -0.77
    ––
    -0.76
    âĢķ
    -0.75
    âĢ¦"
    -0.75
     âĢ¦"
    -0.75
    —"
    -0.73
    -"
    -0.66
    present
    -0.65
     encomp
    -0.64
    POSITIVE LOGITS
    ly
    1.38
     Examples
    1.06
     Locations
    0.98
     Thoughts
    0.97
     Features
    0.95
     Problems
    0.95
     Stories
    0.90
     Analysis
    0.90
     Names
    0.90
     Measures
    0.89
    Activations Density 0.261%

    No Known Activations