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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. 10-RES-JB
    6. 3226
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a chronological context or time reference

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     implanted
    -0.67
     lodged
    -0.65
     outwe
    -0.64
     behav
    -0.63
     distur
    -0.63
     istg
    -0.60
     implants
    -0.59
     ends
    -0.59
     nailed
    -0.59
     nurt
    -0.59
    POSITIVE LOGITS
    ventory
    1.43
    cluding
    1.38
    visible
    1.32
    strument
    1.30
    vasive
    1.28
    cluded
    1.28
    clude
    1.26
    sect
    1.25
    spect
    1.25
    come
    1.22
    Activations Density 0.118%

    No Known Activations