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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. 2-RES-JB
    11. 15533
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    Explanations

    quotations or reported speech in the format of "someone said:" with a strong activation level

    oai_token-act-pair · gpt-3.5-turbo

    direct speech or quotations from individuals in a narrative

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pretend
    -0.63
     adulthood
    -0.61
     amuse
    -0.61
    duc
    -0.60
     endeavors
    -0.60
    allery
    -0.59
    tumblr
    -0.58
     adolescence
    -0.57
     recreation
    -0.57
     refill
    -0.57
    POSITIVE LOGITS
     "#
    0.80
    uckland
    0.70
    ItemTracker
    0.68
    terday
    0.68
    ahu
    0.67
     "{
    0.67
     "@
    0.67
     sarcast
    0.66
     citing
    0.65
     cautioned
    0.64
    Activations Density 1.641%

    No Known Activations