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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 21296
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    Explanations

    proper nouns, possibly related to press articles or photos

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or titles related to individuals or artworks

    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
    Not in Any Lists

    No Comments

    Negative Logits
    odore
    -0.61
    daq
    -0.58
    '."
    -0.58
    nil
    -0.58
    esame
    -0.57
    dinand
    -0.57
    atre
    -0.55
     redes
    -0.55
    ',"
    -0.55
    ]."
    -0.55
    POSITIVE LOGITS
     )
    1.76
     ):
    1.74
     ),
    1.69
     );
    1.66
     ]
    1.64
     )]
    1.61
     ).
    1.57
     ].
    1.57
     ))
    1.53
     ])
    1.52
    Activations Density 0.659%

    No Known Activations