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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 16727
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    Explanations

    adjectives describing feelings or conditions

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors related to feelings of caution, difficulty, and oddness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    911
    -0.88
    adelphia
    -0.67
     Ai
    -0.64
    successfully
    -0.64
    Nation
    -0.63
    CHAT
    -0.63
    brates
    -0.62
    earchers
    -0.62
    Ds
    -0.61
     Skies
    -0.61
    POSITIVE LOGITS
    erous
    0.73
    sighted
    0.71
     newsp
    0.71
    */(
    0.70
     reminis
    0.69
    fetched
    0.68
     wondering
    0.68
     backstory
    0.67
     forgiving
    0.66
    nered
    0.63
    Activations Density 0.222%

    No Known Activations