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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. 3-RES-JB
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    Explanations

    locations or proper nouns related to affluent areas such as Beverly Hills and Pasadena

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations, particularly Beverly Hills

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -1.08
    ebook
    -1.00
    emic
    -0.88
    ems
    -0.80
    udic
    -0.79
    ilver
    -0.77
    umbn
    -0.77
    idem
    -0.75
    eral
    -0.72
    utenberg
    -0.70
    POSITIVE LOGITS
     Hills
    1.27
     Boulevard
    0.99
     Crusher
    0.96
     Hilton
    0.95
     Beverly
    0.94
     Blvd
    0.87
     Peninsula
    0.82
     Bridge
    0.80
     Dame
    0.79
     Ny
    0.78
    Activations Density 0.011%

    No Known Activations