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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. 11-RES-JB
    11. 5177
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    Explanations

    mentions of specific lengths of time, primarily years

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oiler
    -0.68
    iqu
    -0.67
     Mane
    -0.64
    rouse
    -0.63
    slow
    -0.63
    inki
    -0.62
    uri
    -0.62
    yout
    -0.60
    Pause
    -0.60
    sort
    -0.59
    POSITIVE LOGITS
     ago
    0.98
     experience
    0.91
     combined
    0.84
     uninterrupted
    0.81
     career
    0.79
     old
    0.77
     Experience
    0.74
     accumulated
    0.74
     Ago
    0.73
     since
    0.70
    Activations Density 0.097%

    No Known Activations