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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. 9761
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    Explanations

    mentions of the word "Tar" followed by a single digit as an identifier

    oai_token-act-pair · gpt-3.5-turbo

    references to "Tar" and related entities or events

    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
    theless
    -0.83
    ĨĴ
    -0.74
    lihood
    -0.72
    earch
    -0.72
    ETF
    -0.72
    shire
    -0.71
    mble
    -0.68
    HUD
    -0.68
    vous
    -0.67
     Zimmer
    -0.67
    POSITIVE LOGITS
    iffs
    1.04
     sands
    1.02
    zan
    0.92
    ãĥ£
    0.92
    balls
    0.86
    rier
    0.86
    geon
    0.85
    oux
    0.84
    pole
    0.83
    iff
    0.83
    Activations Density 0.025%

    No Known Activations