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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23997
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    INDEX
    Explanations

    references to specific percentages or statistics

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" used in various contexts

    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
    USB
    -0.78
    borgh
    -0.69
    ALSE
    -0.68
     SERV
    -0.67
    rolet
    -0.67
    CLASSIFIED
    -0.66
    bol
    -0.66
    Completed
    -0.65
    uin
    -0.64
    BUS
    -0.64
    POSITIVE LOGITS
     lieu
    1.34
    clus
    1.22
    effic
    1.18
     accordance
    1.16
    efficiency
    1.14
     spite
    1.12
    version
    1.07
     conjunction
    1.06
    clusions
    1.02
     disguise
    1.02
    Activations Density 0.341%

    No Known Activations