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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. 3958
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    INDEX
    Explanations

    phrases related to the concept of "integrity"

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating integrity or stability

    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
    rev
    -0.83
    orthy
    -0.80
    utan
    -0.77
    KK
    -0.74
    aire
    -0.71
    arro
    -0.68
    traumatic
    -0.68
    rina
    -0.68
    ESA
    -0.68
    irs
    -0.67
    POSITIVE LOGITS
     Nanto
    0.78
     existing
    0.72
     our
    0.67
     these
    0.65
     diction
    0.64
     light
    0.63
     incoming
    0.62
     manner
    0.62
     those
    0.62
     their
    0.61
    Activations Density 0.186%

    No Known Activations