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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. 8-RES-JB
    11. 12618
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    Explanations

    instances where a character is described in a negative or adverse situation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the" and variations in context or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thood
    -0.87
    Bloomberg
    -0.80
     namely
    -0.74
    Brexit
    -0.72
     https
    -0.71
    Boost
    -0.71
    Laun
    -0.71
    iversity
    -0.71
    https
    -0.71
    âĦ¢:
    -0.70
    POSITIVE LOGITS
     ensuing
    1.07
     entire
    1.02
    oret
    1.02
     remainder
    1.01
     slightest
    0.97
     whole
    0.97
     waiter
    0.97
     waitress
    0.93
     villagers
    0.91
     latter
    0.90
    Activations Density 0.492%

    No Known Activations