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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. 2-RES-JB
    11. 15884
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    Explanations

    names or terms related to people, possibly with some being surnames

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    $$$$
    -0.76
    çīĪ
    -0.75
    Charge
    -0.74
    STATE
    -0.73
    ettings
    -0.71
    xual
    -0.69
     attribution
    -0.68
    ãģį
    -0.68
    advertisement
    -0.68
    OUP
    -0.67
    POSITIVE LOGITS
    pole
    0.91
    rit
    0.91
    istrate
    0.91
    itional
    0.89
     Pwr
    0.89
    rill
    0.86
    itto
    0.83
    una
    0.83
     Kad
    0.82
    ulum
    0.82
    Activations Density 0.018%

    No Known Activations