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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. 8-RES-JB
    11. 8546
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    Explanations

    proper nouns, possibly related to news and current events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or groups in a conversational context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abases
    -0.72
    azard
    -0.63
     microscope
    -0.63
    agate
    -0.60
    egg
    -0.60
     fossils
    -0.59
    assic
    -0.58
    haven
    -0.58
    agame
    -0.58
     footprint
    -0.57
    POSITIVE LOGITS
     rhet
    0.86
     sarcast
    0.82
    åħī
    0.75
    VICE
    0.72
    Redditor
    0.71
    èĢħ
    0.71
     phr
    0.69
     plaint
    0.69
     paraph
    0.69
    EStream
    0.69
    Activations Density 0.491%

    No Known Activations