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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    the word "Amb" at various levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Amb" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    creen
    -0.78
    ãĥīãĥ©ãĤ´ãĥ³
    -0.75
     simmer
    -0.73
    BALL
    -0.69
    é¾įå¥ij士
    -0.69
     Gutenberg
    -0.66
    tan
    -0.64
     MFT
    -0.63
    BOOK
    -0.62
    ften
    -0.59
    POSITIVE LOGITS
    assador
    1.26
    assad
    1.26
    assadors
    1.20
    iguous
    1.18
    iance
    1.14
    ushed
    1.06
    rose
    1.06
    ience
    1.03
    ient
    1.02
    ivalent
    1.00
    Activations Density 0.027%

    No Known Activations