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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. 10-RES-JB
    11. 8178
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    INDEX
    Explanations

    phrases related to someone doing a job well or admirably

    oai_token-act-pair · gpt-3.5-turbo

    positive evaluations or assessments of performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urated
    -0.76
    hner
    -0.68
    ITED
    -0.66
    heid
    -0.65
    opened
    -0.62
    è¦
    -0.62
    raltar
    -0.61
    edia
    -0.60
     vanquished
    -0.60
     lodged
    -0.59
    POSITIVE LOGITS
     chores
    1.05
     thing
    1.04
     homework
    0.97
     things
    0.96
     damage
    0.94
     job
    0.93
     bidding
    0.91
    duty
    0.89
     laundry
    0.88
     calculations
    0.87
    Activations Density 0.168%

    No Known Activations