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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. 4-RES-JB
    11. 2497
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    Explanations

    phrases expressing preference or contrast

    oai_token-act-pair · gpt-3.5-turbo

    comparisons that highlight alternatives or contrasts

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

    Negative Logits
    marine
    -0.81
     drowned
    -0.62
    qt
    -0.60
     benches
    -0.58
     dolphins
    -0.58
    lake
    -0.57
     harb
    -0.56
    tube
    -0.56
    Interstitial
    -0.55
    Els
    -0.55
    POSITIVE LOGITS
    idav
    0.62
    nikov
    0.61
    itialized
    0.61
     nutshell
    0.61
     Fired
    0.60
     meanwhile
    0.58
     rul
    0.57
     these
    0.55
     meantime
    0.55
     Types
    0.54
    Activations Density 0.374%

    No Known Activations