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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. 1-RES-JB
    11. 5005
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    Explanations

    references to global or worldwide concepts, events, or influences

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "world" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    veyard
    -1.05
     actionGroup
    -0.96
    interstitial
    -0.90
    irez
    -0.87
    ients
    -0.85
    haps
    -0.79
    sbm
    -0.78
    EStream
    -0.77
    rations
    -0.76
    gotten
    -0.75
    POSITIVE LOGITS
    wide
    0.82
     renown
    0.76
     Uruguay
    0.68
     Covenant
    0.68
     traveler
    0.66
     wide
    0.66
     globe
    0.66
    building
    0.66
     Continent
    0.66
     Reincarn
    0.66
    Activations Density 0.056%

    No Known Activations