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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. 8209
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    Explanations

    non-specific terms or phrases related to various topics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to versions and states of being or existing

    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
    udeau
    -0.67
    ipeg
    -0.67
    incial
    -0.65
    aukee
    -0.65
    terday
    -0.64
     pause
    -0.63
    arb
    -0.59
    ãĥķãĤ©
    -0.59
    ------
    -0.58
    ãĥĥãĥī
    -0.58
    POSITIVE LOGITS
     nearest
    0.88
     closest
    0.82
     chosen
    0.70
     furthe
    0.69
    adobe
    0.68
     mentioned
    0.67
     studied
    0.67
    same
    0.67
    hest
    0.67
     listed
    0.66
    Activations Density 0.562%

    No Known Activations