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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. 3257
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    Explanations

    phrases related to career transitions and professional decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to career transitions and changes in professional status

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     pudding
    -0.76
     aggregate
    -0.75
     overfl
    -0.72
     therm
    -0.71
     flattened
    -0.68
     moisture
    -0.65
     gran
    -0.65
     pollutants
    -0.64
     readings
    -0.64
     overc
    -0.62
    POSITIVE LOGITS
    ossibility
    0.82
    igham
    0.78
    oday
    0.76
     Whilst
    0.74
    joining
    0.72
     Upon
    0.72
     ASAP
    0.71
    icipated
    0.70
    uberty
    0.70
    leck
    0.69
    Activations Density 0.709%

    No Known Activations