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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. 10-RES-JB
    11. 24333
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    Explanations

    phrases related to technological warnings and instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating media playback issues

    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
    Closure
    -0.65
     polic
    -0.56
    EVA
    -0.55
     Gork
    -0.54
    GREEN
    -0.53
    rolled
    -0.53
    soDeliveryDate
    -0.52
     Recall
    -0.51
    gone
    -0.51
     testament
    -0.50
    POSITIVE LOGITS
    iframe
    0.78
    screen
    0.68
    embed
    0.63
    taboola
    0.63
    erous
    0.63
    outube
    0.62
    intosh
    0.60
    youtube
    0.59
     YOUR
    0.58
     iTunes
    0.57
    Activations Density 0.011%

    No Known Activations