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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. 2263
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    Explanations

    references to full-time jobs or employment

    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
    ĸļ
    -0.81
    LCS
    -0.78
    ovember
    -0.77
    ambo
    -0.75
    ombs
    -0.71
    Reward
    -0.71
    hra
    -0.71
    uador
    -0.71
    arest
    -0.71
    asty
    -0.70
    POSITIVE LOGITS
     equivalents
    1.02
     employment
    1.00
     basis
    0.90
     worker
    0.84
     missionary
    0.80
     employee
    0.79
     unemployed
    0.77
     equivalent
    0.76
     wage
    0.76
     jobs
    0.74
    Activations Density 0.054%

    No Known Activations