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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. 6990
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    Explanations

    references to vinyl records

    oai_token-act-pair · gpt-3.5-turbo

    references to vinyl records and related media

    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
    erate
    -0.87
    eki
    -0.75
    anooga
    -0.73
    onomous
    -0.73
    abad
    -0.72
    hani
    -0.72
    ========
    -0.69
    erent
    -0.68
    anza
    -0.67
    combe
    -0.67
    POSITIVE LOGITS
     chloride
    0.99
     vinyl
    0.96
     tape
    0.77
     collector
    0.77
     acet
    0.76
     collectors
    0.75
     copies
    0.72
     Vinyl
    0.71
     sleeve
    0.69
     records
    0.68
    Activations Density 0.074%

    No Known Activations