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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. 17644
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    Explanations

    phrases related to laws, regulations, or specific conditions being applied

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating limitations or restrictions

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    aukee
    -0.77
     Scand
    -0.67
     eternity
    -0.67
    76561
    -0.67
    ãĥ£
    -0.67
    bernatorial
    -0.66
     hereafter
    -0.65
    iferation
    -0.65
     piety
    -0.64
     Prague
    -0.62
    POSITIVE LOGITS
    neath
    1.25
    lying
    1.04
    graduate
    1.02
    mining
    0.93
    itialized
    0.92
    comings
    0.91
    Ļ½
    0.91
    cuts
    0.90
    cover
    0.90
    stant
    0.89
    Activations Density 0.018%

    No Known Activations