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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. 3-RES-JB
    11. 17162
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    INDEX
    Explanations

    phrases or words related to requirements or imperatives

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "must" and its variants indicating obligation or necessity

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    vironment
    -0.78
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.78
    åĤ
    -0.76
    VERTISEMENT
    -0.75
    ITED
    -0.73
    æ©
    -0.69
    é»Ĵ
    -0.68
    estern
    -0.68
    çĦ
    -0.67
    é¾
    -0.65
    POSITIVE LOGITS
    afa
    0.84
    reads
    0.82
    sis
    0.79
    Must
    0.78
    amel
    0.78
    afi
    0.77
     Must
    0.75
    umes
    0.73
    ela
    0.73
    ard
    0.72
    Activations Density 0.016%

    No Known Activations