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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. 6-RES-JB
    11. 1605
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and terms related to various fields such as technology, health, and community services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    peror
    -0.65
    mble
    -0.61
    ĸļ
    -0.59
    姫
    -0.55
    ]}
    -0.54
    ãĤ©
    -0.54
    URRENT
    -0.54
    VERTISEMENT
    -0.53
    VICE
    -0.53
    ature
    -0.53
    POSITIVE LOGITS
    haw
    0.64
    coin
    0.52
    netflix
    0.51
    onom
    0.50
    car
    0.49
    ometric
    0.48
    /
    0.48
     sag
    0.48
    Coin
    0.47
    nor
    0.47
    Activations Density 1.717%

    No Known Activations