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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. 1-RES-JB
    11. 13304
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    Explanations

    terms related to "aquatic" activities or features

    oai_token-act-pair · gpt-3.5-turbo

    terms related to aquatic environments and aquaculture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NEY
    -0.71
     Dak
    -0.70
     Mock
    -0.65
     Booth
    -0.64
     Bradford
    -0.62
     Injury
    -0.62
    KING
    -0.62
     Korea
    -0.61
     charge
    -0.61
     Towns
    -0.61
    POSITIVE LOGITS
     aqu
    1.29
    aqu
    1.18
    icol
    0.90
    izoph
    0.89
    itures
    0.89
    enta
    0.86
     horizont
    0.86
    lio
    0.82
    amac
    0.80
    isition
    0.80
    Activations Density 0.006%

    No Known Activations