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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. 9090
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    oai_token-act-pair · gpt-3.5-turbo

    indicators of strong emotional sentiments or opinions

    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
    wart
    -0.77
    warts
    -0.75
     wiser
    -0.68
     blinded
    -0.67
     Arbit
    -0.67
     inconvenient
    -0.66
     extrad
    -0.64
     footing
    -0.64
     inactive
    -0.64
     convenience
    -0.63
    POSITIVE LOGITS
    Narr
    1.01
    Interview
    0.94
    NER
    0.88
    âĹ¼
    0.88
    JC
    0.86
    AMY
    0.85
    Were
    0.85
    ³³³³
    0.83
     GOODMAN
    0.83
    JJ
    0.81
    Activations Density 0.329%

    No Known Activations