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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. 22198
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    Explanations

    words related to something being very large or significant

    oai_token-act-pair · gpt-3.5-turbo

    the term "huge" to describe significant quantities or 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
    ople
    -0.82
    manship
    -0.79
    ices
    -0.77
    tein
    -0.76
    clair
    -0.76
    lest
    -0.75
    earance
    -0.73
    gemony
    -0.70
    asers
    -0.70
    wich
    -0.70
    POSITIVE LOGITS
     amounts
    0.93
     earthqu
    0.92
     disproportion
    0.90
     significance
    0.84
     chunk
    0.84
     proportions
    0.83
     importance
    0.81
     amount
    0.81
     swath
    0.80
     difference
    0.78
    Activations Density 0.019%

    No Known Activations