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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. 2472
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    Explanations

    phrases showcasing a range or variation in something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a range or variety of items or conditions

    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
    bis
    -0.74
    rics
    -0.67
    redo
    -0.61
    orers
    -0.61
    blast
    -0.57
    irlf
    -0.56
    ashi
    -0.56
    rites
    -0.55
    runs
    -0.54
    raped
    -0.54
    POSITIVE LOGITS
     ranging
    1.03
     from
    1.02
     between
    0.94
     anywhere
    0.92
    ranging
    0.90
     prominently
    0.84
     wildly
    0.81
     across
    0.80
    From
    0.80
     FROM
    0.78
    Activations Density 0.043%

    No Known Activations