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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. 9-RES-JB
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    Explanations

    mentions of the names "Albert" and "Einstein" together

    oai_token-act-pair · gpt-3.5-turbo

    references to Albert Einstein

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BOOK
    -0.82
    ãĥ¯
    -0.80
    ned
    -0.76
    osuke
    -0.76
    packing
    -0.76
    pter
    -0.73
    ODUCT
    -0.70
    heed
    -0.70
    fully
    -0.70
    ettlement
    -0.70
    POSITIVE LOGITS
     Einstein
    1.14
    inas
    0.88
     Schwe
    0.86
     Pu
    0.79
    anus
    0.79
    rand
    0.76
    kson
    0.76
    onso
    0.75
    inates
    0.75
     Calder
    0.74
    Activations Density 0.054%

    No Known Activations