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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. 8-RES-JB
    11. 23550
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    Explanations

    adjectives and descriptive words

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors of varying emotional or qualitative significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Barrett
    -0.70
     Niet
    -0.65
    ppard
    -0.63
    ILA
    -0.62
     Buckley
    -0.61
     Reilly
    -0.60
    Keefe
    -0.60
    artney
    -0.59
    ividually
    -0.57
     Byrne
    -0.56
    POSITIVE LOGITS
     ][
    0.80
     ]
    0.72
     ];
    0.68
     )]
    0.67
    _
    0.65
     ])
    0.62
     );
    0.62
     )
    0.61
     !
    0.60
     ):
    0.59
    Activations Density 0.154%

    No Known Activations