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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. 4658
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    Explanations

    words related to abstract or conceptual ideas or relationships

    oai_token-act-pair · gpt-3.5-turbo

    contexts related to the concept of "sense" and its various interpretations

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Warm
    -0.70
     Crimson
    -0.67
    RAW
    -0.66
    warm
    -0.65
     Hunts
    -0.65
     Columb
    -0.64
    natureconservancy
    -0.59
     Vanderbilt
    -0.58
     Zion
    -0.58
     DRAGON
    -0.58
    POSITIVE LOGITS
    forward
    0.80
    verse
    0.72
    Ëľ
    0.70
    pects
    0.70
    forth
    0.70
    Ø©
    0.68
    thood
    0.68
    naissance
    0.68
    achu
    0.67
    ples
    0.67
    Activations Density 0.048%

    No Known Activations