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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. 3-RES-JB
    11. 3942
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    Explanations

    the word "love" regardless of context

    oai_token-act-pair · gpt-3.5-turbo

    the word "love" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     reconc
    -0.78
    abad
    -0.75
    interstitial
    -0.74
    İĭ
    -0.70
    ItemImage
    -0.67
     deviations
    -0.63
    enance
    -0.62
     rise
    -0.61
     debtor
    -0.61
     negotiators
    -0.60
    POSITIVE LOGITS
    tsky
    1.19
    lette
    1.10
    rer
    1.03
    ments
    0.96
    rers
    0.96
    anu
    0.94
    tails
    0.91
    ove
    0.90
    tail
    0.90
    rette
    0.90
    Activations Density 0.009%

    No Known Activations