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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. 9-RES-JB
    6. 1308
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    INDEX
    Explanations

    phrases related to asserting claims or stating facts along with duration indicators

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ongoing actions or situations

    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
    é¾į
    -0.73
    GROUP
    -0.68
    inki
    -0.66
    iru
    -0.66
    ãĥ¯ãĥ³
    -0.64
    IONS
    -0.62
    oval
    -0.60
    ))))
    -0.60
    emi
    -0.58
    window
    -0.58
    POSITIVE LOGITS
     since
    1.61
     lately
    1.46
    since
    1.26
     previously
    1.12
     hitherto
    1.11
     previous
    1.02
     awhile
    0.98
     decades
    0.96
     millennia
    0.95
     repeatedly
    0.95
    Activations Density 1.615%

    No Known Activations