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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. 21859
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    Explanations

    the word "meant" used in the context of intention or purpose

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intention or purpose

    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
    redo
    -0.72
    anon
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    cence
    -0.66
    SPONSORED
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     Shirt
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    EStreamFrame
    -0.61
    tex
    -0.61
    VERTISEMENT
    -0.61
    âĨij
    -0.60
    士
    -0.59
    POSITIVE LOGITS
    ĸļ
    0.78
    reprene
    0.74
    ERSON
    0.68
    к
    0.68
    ¬¼
    0.68
    forth
    0.67
    İ
    0.66
    IENT
    0.66
     principally
    0.66
    ivil
    0.65
    Activations Density 0.019%

    No Known Activations