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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    proper nouns - names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Pool" and related proper nouns or names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mater
    -0.89
     disl
    -0.86
     audi
    -0.80
     hawk
    -0.80
     haw
    -0.78
     probable
    -0.72
     intel
    -0.71
     operating
    -0.71
     dialog
    -0.70
     cad
    -0.70
    POSITIVE LOGITS
     Pool
    3.68
    Pool
    2.31
     Coverage
    1.18
    pool
    1.15
     Spray
    1.13
     Rounds
    1.12
     Column
    1.09
     Johnston
    1.07
     Rooms
    1.03
     Measures
    0.99
    Activations Density 0.016%

    No Known Activations