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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. 24220
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    Explanations

    text related to financial transactions and adjustments

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to account status and notifications

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     genders
    -0.54
     sizes
    -0.53
    rian
    -0.53
     lovers
    -0.52
     actresses
    -0.52
     Persons
    -0.52
    models
    -0.52
     alike
    -0.51
     metals
    -0.51
    rians
    -0.51
    POSITIVE LOGITS
    successfully
    0.60
    .","
    0.55
    effective
    0.55
    escription
    0.50
    ij士
    0.49
     exha
    0.48
     suspic
    0.48
    advertisement
    0.48
     luckily
    0.48
    .�
    0.48
    Activations Density 1.067%

    No Known Activations