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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. 2478
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    Explanations

    times of day written in the format "p.m." with high activation

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
     acknowled
    -0.69
     divest
    -0.65
     vanity
    -0.65
     sidel
    -0.60
     finances
    -0.59
     numbering
    -0.59
     acron
    -0.58
     majorities
    -0.58
     replication
    -0.57
     subtitle
    -0.57
    POSITIVE LOGITS
    m
    0.83
     CST
    0.73
    emp
    0.73
    noon
    0.72
    hm
    0.71
    emer
    0.71
     EDT
    0.70
    au
    0.70
     PDT
    0.70
    uca
    0.69
    Activations Density 0.024%

    No Known Activations