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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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    INDEX
    Explanations

    occurrences of the word "examine" within text

    oai_token-act-pair · gpt-3.5-turbo

    references to the action of examining or analyzing

    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
    âĹ¼
    -0.84
    activated
    -0.82
    die
    -0.77
    Torrent
    -0.74
    gren
    -0.71
     retard
    -0.64
    board
    -0.63
    idal
    -0.63
    appointed
    -0.63
    loaded
    -0.62
    POSITIVE LOGITS
     examines
    0.92
     Probe
    0.92
     examining
    0.89
     examine
    0.86
    alus
    0.86
    ury
    0.85
    ĸļ
    0.84
    ively
    0.80
    abilia
    0.79
    mble
    0.79
    Activations Density 0.023%

    No Known Activations