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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

    mentions of the city Berlin

    oai_token-act-pair · gpt-3.5-turbo

    references to Berlin

    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
    BOOK
    -0.98
    orses
    -0.80
    lihood
    -0.80
    said
    -0.74
    ptive
    -0.73
    à¤
    -0.73
    avez
    -0.71
    aved
    -0.71
    tml
    -0.69
    IRED
    -0.69
    POSITIVE LOGITS
     Berlin
    0.93
    furt
    0.89
    mouth
    0.88
     Chancellor
    0.87
    shire
    0.80
    enstein
    0.80
    enburg
    0.80
     Pact
    0.76
    wings
    0.76
     bureau
    0.76
    Activations Density 0.006%

    No Known Activations