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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. 11-RES-JB
    11. 24112
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    Explanations

    phrases related to an increasing trend or amount in a specific context

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate an increasing trend or growing numbers of people and businesses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ascript
    -0.78
    apo
    -0.74
    worst
    -0.71
    acly
    -0.69
     Prev
    -0.67
    maximum
    -0.65
     Actual
    -0.65
     beforehand
    -0.64
     Worst
    -0.64
     ¯
    -0.64
    POSITIVE LOGITS
     flock
    1.07
     opting
    1.07
     adopting
    1.04
     embracing
    1.01
     clam
    0.97
     abandoning
    0.94
     realise
    0.93
     popping
    0.93
     realizing
    0.92
     switching
    0.90
    Activations Density 0.253%

    No Known Activations