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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. 9-RES-JB
    11. 20009
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    Explanations

    the word "t" with high activation

    oai_token-act-pair · gpt-3.5-turbo

    the contraction "haven't."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     weap
    -0.65
     Pair
    -0.62
    CRIP
    -0.62
     searches
    -0.62
     Planetary
    -0.59
     mock
    -0.57
     Alleg
    -0.56
    nette
    -0.56
     Picture
    -0.56
    APH
    -0.54
    POSITIVE LOGITS
     been
    1.11
     gotten
    1.10
    been
    1.05
    gotten
    1.03
    yet
    1.01
     bothered
    0.92
     hesitated
    0.90
     yet
    0.89
     fared
    0.85
    aken
    0.85
    Activations Density 0.023%

    No Known Activations