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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
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    Explanations

    references to telecommunication devices, especially focusing on telephone-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the telephone

    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
    ebook
    -0.81
    iesta
    -0.73
    ded
    -0.71
    inst
    -0.69
    ais
    -0.67
    reci
    -0.66
    ubb
    -0.66
    iverpool
    -0.65
     Ridley
    -0.64
    enery
    -0.63
    POSITIVE LOGITS
     handset
    0.93
     Telephone
    0.92
     telephone
    0.90
     answ
    0.87
     booths
    0.85
     contacts
    0.85
     wires
    0.80
     hotline
    0.79
    awei
    0.79
    ysis
    0.79
    Activations Density 0.008%

    No Known Activations