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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. 3-RES-JB
    11. 15150
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    Explanations

    names or terms related to a specific company or brand

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Rel" or related terms, indicating a focus on a specific entity or organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HAEL
    -1.03
    terday
    -0.71
    schild
    -0.70
    enegger
    -0.69
    hemy
    -0.65
    manship
    -0.65
    BOX
    -0.64
    cules
    -0.63
    ãģ®ç
    -0.62
    hire
    -0.62
    POSITIVE LOGITS
    iance
    1.19
    igion
    1.07
    iever
    1.03
    iability
    1.02
    iable
    0.99
    atively
    0.98
    ativity
    0.92
    atives
    0.92
    igious
    0.90
     Rel
    0.90
    Activations Density 0.009%

    No Known Activations