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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. 8-RES-JB
    11. 14517
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    Explanations

    phrases expressing gratitude and appreciation

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and exclamatory phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ensibly
    -0.90
    everal
    -0.87
     antidepress
    -0.76
     rapidly
    -0.74
    jriwal
    -0.74
     painfully
    -0.73
    withstanding
    -0.73
     forwarding
    -0.72
     increasingly
    -0.70
    arching
    -0.70
    POSITIVE LOGITS
     Lastly
    1.24
     Anyway
    1.21
     =================================================================
    1.18
     ----------------------------------------------------------------
    1.17
     ********************************
    1.14
     See
    1.12
     =================================
    1.08
     Recommended
    1.08
    <|endoftext|>
    1.07
     :)
    1.05
    Activations Density 0.388%

    No Known Activations