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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. 7-RES-JB
    11. 8770
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    Explanations

    questions or prompts that inspire further conversation or consideration

    oai_token-act-pair · gpt-3.5-turbo

    questions that reflect uncertainty or inquiry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rawdownloadcloneembedreportprint
    -0.77
    Laughs
    -0.68
    ãĤ§
    -0.65
    âĶģ
    -0.63
    FactoryReloaded
    -0.61
    alach
    -0.61
     Enemies
    -0.60
    ////////
    -0.60
    lag
    -0.60
    Ĥ¬
    -0.60
    POSITIVE LOGITS
    why
    1.18
     WHY
    1.18
     why
    1.14
     whether
    1.13
    whether
    1.05
    how
    0.98
     how
    0.96
    answered
    0.95
     WHERE
    0.92
     Why
    0.92
    Activations Density 0.158%

    No Known Activations