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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. 6-RES-JB
    6. 19282
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    Explanations

    phrases related to decision-making and choices

    oai_token-act-pair · gpt-3.5-turbo

    questions about options or alternatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.33
    elight
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    tnc
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    æł
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    cest
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     Whilst
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    Secondly
    -0.28
    thouse
    -0.27
    Interstitial
    -0.27
    itan
    -0.26
    POSITIVE LOGITS
    —"
    0.35
     Dunham
    0.33
     Huck
    0.33
     BuzzFeed
    0.31
     Hawking
    0.31
     Freak
    0.30
     goddamn
    0.28
     Mets
    0.28
     Trump
    0.28
    —
    0.27
    Activations Density 4.458%

    No Known Activations