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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. 10-RES-JB
    11. 12177
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sections of content that indicate editorial modifications or references to editing actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    milo
    -0.79
    mercial
    -0.76
     pige
    -0.70
    ciating
    -0.69
     mosqu
    -0.62
     somew
    -0.61
    dinand
    -0.60
    ONSORED
    -0.59
     advoc
    -0.59
    eday
    -0.58
    POSITIVE LOGITS
     ]
    1.49
     ])
    1.05
     ],
    1.05
     ][
    1.00
     ].
    0.98
     ];
    0.84
     )]
    0.82
     }}
    0.81
     |
    0.79
     edit
    0.76
    Activations Density 0.014%

    No Known Activations