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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. 5335
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    Explanations

    phrases related to meetings and engagements

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of phrases related to exchanges or interactions

    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
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    No Comments

    Negative Logits
     Corpus
    -0.65
     affected
    -0.64
     Rhode
    -0.63
     hourly
    -0.62
     gauge
    -0.60
     polled
    -0.59
     Nare
    -0.59
     fictional
    -0.59
     hus
    -0.58
     perk
    -0.58
    POSITIVE LOGITS
    trade
    1.21
    repeat
    1.12
    learn
    1.11
    advertising
    1.11
    home
    1.08
    equal
    1.08
    goal
    1.07
    distance
    1.06
    clear
    1.06
    your
    1.06
    Activations Density 0.024%

    No Known Activations