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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. 4-RES-JB
    11. 9128
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    Explanations

    references to a specific location, Berlin, within text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Berlin

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

    No Comments

    Negative Logits
    BOOK
    -0.82
    merce
    -0.78
    orses
    -0.76
    ptive
    -0.74
    lihood
    -0.74
    à¤
    -0.74
    tml
    -0.73
    itamin
    -0.72
    nces
    -0.72
    cript
    -0.72
    POSITIVE LOGITS
     Berlin
    0.91
     Chancellor
    0.87
    furt
    0.87
    er
    0.82
    enstein
    0.81
    mouth
    0.81
    enburg
    0.81
     Munich
    0.80
     Wall
    0.80
    shire
    0.80
    Activations Density 0.006%

    No Known Activations