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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. 12-RES-JB
    11. 4197
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    Explanations

    mentions of the process of making or creating something, particularly referencing details or steps involved

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases and verbs associated with the act of making or creating something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.82
    ander
    -0.69
    ei
    -0.65
    assis
    -0.64
    ught
    -0.64
    anders
    -0.62
    hood
    -0.62
     exting
    -0.60
    thia
    -0.60
    ESA
    -0.60
    POSITIVE LOGITS
     sure
    1.47
     adjustments
    1.08
     sense
    1.04
     mistakes
    0.99
     modifications
    0.96
     decisions
    0.96
     strides
    0.91
     purchases
    0.89
     alterations
    0.87
     use
    0.86
    Activations Density 0.123%

    No Known Activations