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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. 9-RES-JB
    11. 15376
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    Explanations

    words related to dedication or commitment

    oai_token-act-pair · gpt-3.5-turbo

    words related to commitment or dedication

    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
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    No Comments

    Negative Logits
    estamp
    -0.71
    corn
    -0.71
    WARN
    -0.66
    adish
    -0.65
    \'
    -0.63
    seed
    -0.62
     ASA
    -0.62
    ©
    -0.60
    天
    -0.59
    CHA
    -0.59
    POSITIVE LOGITS
     devoted
    0.93
    itures
    0.90
     dedicated
    0.82
     solely
    0.80
     IPM
    0.79
    stant
    0.75
    itionally
    0.74
    ciating
    0.73
    esses
    0.72
     dedicate
    0.71
    Activations Density 0.034%

    No Known Activations