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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. 5455
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    Explanations

    information related to steps or instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to rules and limits

    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
    umni
    -0.65
    inis
    -0.59
    yssey
    -0.55
    ERA
    -0.53
    VERTISEMENT
    -0.53
    Ire
    -0.53
    tips
    -0.52
    sequently
    -0.52
    ramid
    -0.52
    Fre
    -0.51
    POSITIVE LOGITS
     oneself
    0.61
     finite
    0.60
     shitty
    0.58
     crappy
    0.57
     wrong
    0.55
     objectively
    0.55
     boring
    0.54
     rationality
    0.53
     systematically
    0.53
     perceptual
    0.52
    Activations Density 2.249%

    No Known Activations