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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. 5994
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    Explanations

    the key points or main messages in a text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "take" and its variations, often in the context of summarizing or extracting important points

    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
    etheless
    -0.67
     Rouge
    -0.67
     advertised
    -0.63
     icing
    -0.62
    eers
    -0.59
     Kamp
    -0.59
    atron
    -0.58
     brill
    -0.57
     david
    -0.57
     Scotia
    -0.57
    POSITIVE LOGITS
    aways
    1.68
    overs
    1.31
    away
    1.12
    over
    1.01
    offs
    1.00
     advantage
    0.94
    shots
    0.87
     heed
    0.86
     care
    0.84
    weed
    0.83
    Activations Density 0.049%

    No Known Activations