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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 8847
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    Explanations

    references to businesses or commercial activities such as breweries, bars, and workshops

    oai_token-act-pair · gpt-3.5-turbo

    the end-of-text token

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    instead
    -0.60
     Vaugh
    -0.60
    ardless
    -0.57
    '."
    -0.54
     blah
    -0.54
     Niet
    -0.53
    avorite
    -0.53
     disadvant
    -0.53
    soDeliveryDate
    -0.52
    ',"
    -0.51
    POSITIVE LOGITS
     ):
    0.51
    )?
    0.47
    catentry
    0.46
    sw
    0.45
     screenshot
    0.45
    taboola
    0.45
    photos
    0.44
     Released
    0.43
     *)
    0.43
    ):
    0.43
    Activations Density 1.899%

    No Known Activations