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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. 12090
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    INDEX
    Explanations

    adijectives related to size, particularly emphasizing the concept of bigness

    oai_token-act-pair · gpt-3.5-turbo

    references to "big" as a descriptor

    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
    nes
    -0.74
    icum
    -0.74
     thereafter
    -0.71
    wear
    -0.69
     pursuant
    -0.69
    eton
    -0.69
     hereby
    -0.68
     subsequently
    -0.67
     wherein
    -0.66
     herein
    -0.65
    POSITIVE LOGITS
     big
    3.13
    big
    2.35
     huge
    2.10
     bigger
    2.08
     BIG
    2.08
     HUGE
    1.97
    Big
    1.87
     biggest
    1.75
     Big
    1.69
     large
    1.67
    Activations Density 0.027%

    No Known Activations