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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. 11-RES-JB
    11. 17374
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    Explanations

    phrases related to concealing or hiding negative experiences or information

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to concealment or hiding issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rious
    -0.75
    bia
    -0.65
    bub
    -0.61
     Builder
    -0.60
    arial
    -0.60
    eway
    -0.59
    cial
    -0.58
    named
    -0.58
     Minotaur
    -0.58
    timeout
    -0.57
    POSITIVE LOGITS
    stakes
    1.45
     aside
    1.22
     away
    1.11
    apons
    0.91
     ashore
    0.88
    brush
    0.84
    apon
    0.81
    arthed
    0.81
     Away
    0.81
     overboard
    0.80
    Activations Density 0.055%

    No Known Activations