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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. 0-RES-JB
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    Explanations

    references to chambers of commerce or business organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to chambers of commerce

    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
     meta
    -0.67
     embell
    -0.66
     dd
    -0.63
    rf
    -0.63
    ear
    -0.62
    Ir
    -0.61
    rx
    -0.61
     modify
    -0.60
    msg
    -0.60
     backup
    -0.60
    POSITIVE LOGITS
     Chamber
    4.37
     Chambers
    2.18
     chamber
    2.11
     chambers
    1.88
     Room
    1.07
     Subcommittee
    1.02
     Corridor
    1.02
     Council
    1.00
     Symphony
    0.96
     Cabinet
    0.96
    Activations Density 0.009%

    No Known Activations