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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. 13645
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    Explanations

    phrases indicating importance or significance

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significance or importance-related to various subjects

    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
     IMAGES
    -0.72
    eton
    -0.71
    rollers
    -0.68
    oons
    -0.66
    onne
    -0.65
    taboola
    -0.65
    changes
    -0.64
     mates
    -0.63
    shots
    -0.63
    cles
    -0.61
    POSITIVE LOGITS
     utmost
    1.21
     paramount
    1.20
     importance
    1.18
     relevance
    1.12
     significance
    1.05
     interest
    1.05
     concern
    0.95
     immense
    0.94
     value
    0.93
    interest
    0.88
    Activations Density 0.048%

    No Known Activations