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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. 1-RES-JB
    11. 16126
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    Explanations

    large quantities or exceptionally high numbers

    oai_token-act-pair · gpt-3.5-turbo

    the use of the word "staggering" to describe large quantities or significant impacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fecture
    -0.87
    relations
    -0.76
    */(
    -0.76
    nan
    -0.73
    cel
    -0.73
    ective
    -0.72
    relation
    -0.72
    bid
    -0.70
    emy
    -0.69
    gemony
    -0.68
    POSITIVE LOGITS
    ingly
    0.93
     staggering
    0.91
    enance
    0.81
     unbeliev
    0.81
    STAT
    0.71
     unlaw
    0.70
     shenan
    0.70
     naked
    0.69
     admissions
    0.68
    DIV
    0.67
    Activations Density 0.010%

    No Known Activations