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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    references to physical falls or declines

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "fall" or its variations in different contexts, particularly those related to physical events or conditions

    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
     supervised
    -0.68
     charcoal
    -0.64
     KC
    -0.60
     Int
    -0.60
     Integ
    -0.59
     kW
    -0.58
     Polk
    -0.58
     Toyota
    -0.57
     chromosomes
    -0.57
     rh
    -0.57
    POSITIVE LOGITS
    fall
    4.71
    falls
    3.22
    Fall
    2.15
    fell
    1.61
     Fall
    1.37
     fall
    1.25
    drop
    1.17
    fal
    1.14
     Falling
    1.11
    storm
    1.10
    Activations Density 0.016%

    No Known Activations