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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. 2-RES-JB
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    Explanations

    the concept of dedication

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to dedication and commitment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ther
    -0.81
    Lev
    -0.73
    Kin
    -0.72
    adish
    -0.72
     Quin
    -0.70
     unintended
    -0.65
    Ther
    -0.64
     Atlantis
    -0.64
     Kingdoms
    -0.63
     saline
    -0.63
    POSITIVE LOGITS
     dedication
    1.16
     ceremony
    0.88
    xual
    0.87
    jriwal
    0.83
     devotion
    0.83
    smanship
    0.80
    orship
    0.79
    mble
    0.79
    anguage
    0.78
    etition
    0.77
    Activations Density 0.014%

    No Known Activations