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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. 23571
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    INDEX
    Explanations

    phrases related to decisions or essential factors in a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate dependence or foundational principles

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.72
    hound
    -0.71
    quer
    -0.69
    bats
    -0.69
    vious
    -0.68
    ibi
    -0.67
    ilk
    -0.67
    upper
    -0.67
    aii
    -0.66
    swick
    -0.66
    POSITIVE LOGITS
     necessity
    0.85
     ensuring
    0.85
     extracting
    0.84
     conviction
    0.84
     respect
    0.84
     convincing
    0.84
     belief
    0.82
     prag
    0.82
     principles
    0.82
     maintaining
    0.80
    Activations Density 0.216%

    No Known Activations