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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. 0-RES-JB
    11. 2402
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    Explanations

    references to the word "Monster" and possibly related terms like "Brain" and "Soul"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Monster" and related brands or themes in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     esc
    -0.86
     thrust
    -0.84
     friction
    -0.77
     notch
    -0.77
     besie
    -0.76
     escort
    -0.74
     denomin
    -0.73
    entin
    -0.73
     curs
    -0.73
    ascus
    -0.73
    POSITIVE LOGITS
     Brain
    2.10
     Soul
    1.98
     Monster
    1.81
     Genius
    1.57
     Memory
    1.54
     Reason
    1.51
     Alive
    1.48
    Soul
    1.46
     Thought
    1.44
     Knowledge
    1.41
    Activations Density 0.041%

    No Known Activations