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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. 11-RES-JB
    11. 14568
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    Explanations

    phrases related to global summits and conferences

    oai_token-act-pair · gpt-3.5-turbo

    references to the G8 meetings and conferences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Grizz
    -0.71
     retrospect
    -0.63
     intervals
    -0.61
     sight
    -0.60
     earnest
    -0.60
     timing
    -0.59
     aver
    -0.58
     Razor
    -0.58
     htt
    -0.58
     Conquest
    -0.56
    POSITIVE LOGITS
    oliath
    1.39
    opher
    1.17
    CHQ
    1.16
    EO
    1.16
    ospels
    1.15
    ilded
    1.15
    reet
    1.13
    ambling
    1.13
    ourmet
    1.12
    ossip
    1.11
    Activations Density 0.039%

    No Known Activations