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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

    phrases related to burdens and responsibilities

    oai_token-act-pair · gpt-3.5-turbo
    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
    naissance
    -0.78
    cium
    -0.75
    specified
    -0.74
    */(
    -0.73
    encers
    -0.67
    confirmed
    -0.67
    sal
    -0.65
    cius
    -0.64
    sci
    -0.62
    hire
    -0.60
    POSITIVE LOGITS
     burden
    1.59
     burdens
    1.37
    lessly
    1.05
    urden
    0.97
     burd
    0.91
     load
    0.82
    enance
    0.81
    usercontent
    0.78
    ively
    0.78
     bearer
    0.77
    Activations Density 0.012%

    No Known Activations