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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. 11-RES-JB
    6. 8543
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    Explanations

    phrases related to shocking or morally outrageous actions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of shock or disbelief regarding human actions or decisions

    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
    / 
    -0.72
    taboola
    -0.69
    Newsletter
    -0.64
     respectively
    -0.63
     Ghosts
    -0.60
     Regist
    -0.59
     Areas
    -0.58
     Pigs
    -0.58
     Trog
    -0.57
     CrossRef
    -0.57
    POSITIVE LOGITS
     such
    1.00
    ?!"
    0.99
    !?"
    0.94
     seemingly
    0.89
     blatantly
    0.87
     mere
    0.87
     suddenly
    0.86
    !?
    0.81
    ?!
    0.81
    without
    0.76
    Activations Density 0.759%

    No Known Activations