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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. 1-RES-JB
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    Explanations

    mentions of Berlin

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Berlin."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BOOK
    -0.96
    orses
    -0.85
    IRED
    -0.81
    said
    -0.80
    à¤
    -0.78
    nces
    -0.76
    ptive
    -0.75
    amate
    -0.73
    ISTER
    -0.71
    INAL
    -0.70
    POSITIVE LOGITS
     Berlin
    1.05
     Chancellor
    0.84
    furt
    0.82
     Pact
    0.82
    geist
    0.80
     Munich
    0.80
    mouth
    0.80
     Bundesliga
    0.76
    wald
    0.76
     Wall
    0.76
    Activations Density 0.006%

    No Known Activations