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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 "Kanagawa" in Japan

    oai_token-act-pair · gpt-3.5-turbo

    the word "awa" with varying frequency, indicating a focus on references to a specific location or state

    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
    оÐ
    -0.72
    book
    -0.68
    part
    -0.60
    books
    -0.60
     typed
    -0.60
    picking
    -0.60
    text
    -0.59
     sheet
    -0.59
     mathemat
    -0.59
    test
    -0.59
    POSITIVE LOGITS
    awa
    1.30
    aii
    1.21
    iba
    0.93
    anus
    0.92
    ichi
    0.85
    oka
    0.85
    orthy
    0.85
    ashi
    0.84
    ards
    0.78
    ara
    0.78
    Activations Density 0.008%

    No Known Activations