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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. 21927
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    Explanations

    statistical or numerical information in texts

    oai_token-act-pair · gpt-3.5-turbo

    words related to reports, data, and analysis

    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
    âĢ¢âĢ¢
    -0.58
    *.
    -0.54
    _.
    -0.53
    Ĭ±
    -0.52
    --------
    -0.51
    instead
    -0.51
    None
    -0.51
    .*
    -0.50
    Rather
    -0.50
    selves
    -0.50
    POSITIVE LOGITS
     consists
    0.99
     comprises
    0.97
     consisted
    0.93
     encompasses
    0.86
     includes
    0.86
     represents
    0.84
     contains
    0.84
     lasted
    0.83
     incorporates
    0.81
     involves
    0.81
    Activations Density 0.623%

    No Known Activations