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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. 9-RES-JB
    11. 23071
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    Explanations

    words related to various aspects of life such as physical objects, personal relationships, societal issues, and philosophical concepts

    oai_token-act-pair · gpt-3.5-turbo

    elements of lifestyle and personal belongings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rush
    -0.58
    kamp
    -0.56
     Scroll
    -0.56
     Cong
    -0.55
     Likely
    -0.53
    orem
    -0.53
    runs
    -0.53
     Ends
    -0.52
    ema
    -0.52
    haw
    -0.52
    POSITIVE LOGITS
     etc
    1.44
    etc
    1.23
    whatever
    0.89
    âĢ¦)
    0.85
     even
    0.84
    anything
    0.81
     ..............
    0.79
     whatever
    0.79
     blah
    0.74
     et
    0.74
    Activations Density 0.223%

    No Known Activations