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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. 10-RES-JB
    11. 18763
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    Explanations

    text related to referencing and editing in a document

    oai_token-act-pair · gpt-3.5-turbo

    sections related to references or further reading

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     scrim
    -0.68
     seated
    -0.62
     molded
    -0.61
     mentality
    -0.61
     layoffs
    -0.60
     motto
    -0.60
     rece
    -0.60
    ufact
    -0.59
    etheless
    -0.58
     somet
    -0.58
    POSITIVE LOGITS
    References
    1.39
    âĨij
    1.37
    Further
    1.20
    External
    1.16
    ibliography
    1.12
    Notes
    1.09
    Acknowled
    0.99
     References
    0.95
    Sources
    0.92
    ^
    0.91
    Activations Density 0.053%

    No Known Activations