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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. 23780
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    Explanations

    phrases related to observations or analyses

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate observations or insights about a situation

    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
    ãĤ´ãĥ³
    -0.67
     Alas
    -0.59
    surprisingly
    -0.56
     ®
    -0.56
    REDACTED
    -0.56
    *:
    -0.55
    udder
    -0.55
    .*
    -0.55
     mere
    -0.54
     Yet
    -0.54
    POSITIVE LOGITS
     [
    1.17
     everybody
    0.99
     ['
    0.99
    ,'"
    0.97
     somebody
    0.96
    ,''
    0.93
    ,"
    0.91
     guys
    0.89
    ),"
    0.88
     gonna
    0.80
    Activations Density 1.943%

    No Known Activations